{"info":{"_postman_id":"e9f8da96-a781-4403-9f7d-6c40003d49b1","name":"ITONICS (Enterprise) API Technical Documentation","description":"

The ITONICS Innovation OS features a standardized REST API designed to facilitate data exchange between ITONICS and your external applications.

Use the API for Read (GET), Create (POST), and Update (PUT) operations to automatically synchronize content, eliminating the need for manual data handling. Since all your configured ITONICS fields are dynamically exposed as REST API endpoints, integrating and keeping other systems up-to-date is straightforward.

Building on this, the following sections provide a technical deep dive into the ITONICS REST API, explaining the basics in detail and covering authentication, data structures, request formats, and examples to equip you with the necessary knowledge to utilize the API effectively.

The REST API returns requested data in a standard JSON format (UTF-8 encoding) and supports comprehensive data retrieval and manipulation, summarized as CRUD operations:

Create (HTTP POST request)
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Read (HTTP GET request)
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Update (HTTP PUT request)
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(Delete (HTTP DELETE request) — Note: This operation is currently excluded.)
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The API allows access to all configured entity types in your application using these operations, with one exception: the Campaign entity type (itonics_campaign_tr3), which supports Read (GET) only.

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Authentication setup

Create a dedicated API User: You must create a new user specifically for API authentication. This username must start with 'restws'.
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Assign permissions: Ensure this user is assigned to a role that has the necessary permissions within the system to execute the required requests (e.g., \"Access the resource \").
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Authentication format: Use the following header format for authentication: Authorization: Basic
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Handling writing requests (POST and PUT)

ITONICS uses cookie-based authentication for all writing requests (POST and PUT).

GET requests do not require a token.
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Writing requests require an HTTP X-CSRF token in the header.
\n

You can retrieve the token from the dedicated GET endpoint /restws/session/token.

The token must then be included in the header of your writing requests using this format: X-CSRF-Token: received_token.

The X-CSRF token is valid for 2,000,000 seconds (approximately 23 days), while the token's validity is tied to the user's session and will expire if the session times out (typically after about 55 hours of inactivity) or if the user logs out, requiring you to fetch a new token.

\n","urlObject":{"path":["restws","session","token"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"408c8b30-8927-4263-8356-38b5869dcbbd","name":"Basic Auth - Sample Request/Response","originalRequest":{"method":"GET","header":[{"key":"Content-Type","value":"text/plain","description":"application/json","type":"text","disabled":true}],"url":"{base_url}/restws/session/token"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Thu, 28 Aug 2025 08:08:56 GMT"},{"key":"Content-Type","value":"application/json","description":"","type":"text"},{"key":"Content-Length","value":"63"},{"key":"Connection","value":"keep-alive"},{"key":"Server","value":""},{"key":"Expires","value":"Sun, 19 Nov 1978 05:00:00 GMT"},{"key":"Cache-Control","value":"no-cache, no-store, must-revalidate"},{"key":"pragma","value":"no-cache"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"Vary","value":"Accept-Encoding"},{"key":"Content-Encoding","value":"gzip"},{"key":"Content-Security-Policy","value":"default-src 'none'; base-uri 'self'; child-src 'self'; font-src 'self' http: https: data:; form-action 'self' http: https:; img-src * data: blob:; media-src 'self'; manifest-src 'self'; object-src 'none'; frame-src 'self' https://miro.com https://vimeo.com https://forms.office.com https://www.surveymonkey.com https://*.sharepoint.com https://sharepoint.com https://www.youtube.com https://www.youtube-nocookie.com; upgrade-insecure-requests; script-src 'self' 'strict-dynamic' 'nonce-9IKx8hV4cn3m6ily5Mm84CaJ' https: http:; connect-src 'self' maps.googleapis.com piwik.itonicsit.de; style-src * 'unsafe-inline'; worker-src 'self' blob:; sandbox allow-forms allow-scripts allow-same-origin allow-popups allow-downloads allow-modals allow-presentation allow-popups-to-escape-sandbox;"},{"key":"Referrer-Policy","value":"no-referrer, same-origin"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Permissions-Policy","value":"accelerometer=(), autoplay=(), camera=(), encrypted-media=(), fullscreen=(self), geolocation=(), microphone=(), midi=(), payment=(self), display-capture=()"}],"cookie":[],"responseTime":null,"body":"string"}],"_postman_id":"3101fd67-031b-4f72-bb74-feb56def6391"},{"name":"Oauth 2.0","id":"b9e87b33-275f-45f9-8392-7207ade2726e","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"POST","header":[],"url":"{base_url}/oauth2/token","description":"

OAuth 2.0 (Open Authorization) is a standard protocol that allows one application (or website) to securely access resources hosted by another application on behalf of a user. This standard provides consented access, meaning it restricts and defines exactly what actions the client application is authorized to perform on those resources.

OAuth 2.0 authorization flow

To begin the OAuth 2.0 process, the user must first possess the necessary login credentials, a valid Client ID, and a Client Secret, all of which are provided by ITONICS upfront.

The authorization flow is initiated by the user, and the request, exchange, and response follow these general steps:

The user requests authorization from the authorization server, using the Client ID and Client Secret for identification, and also providing the required scopes and an endpoint URI for access token delivery.
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The authorization server authenticates the user and verifies the requested scopes (Client ID and Client Secret) are permitted.
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The user interacts with the authorization server to explicitly grant access.
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The authorization server issues an access token to the user.
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Using the access token, the user requests access to the resource from the resource server.
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Grant types

In the OAuth 2.0 authorization framework, grants refer to the specific set of steps a user performs to receive authorization for resource access. The ITONICS REST API utilizes the following grant types:

1. Password grant type

The password grant type exchanges a user's direct credentials for an access token. This flow is necessary to acquire the initial access token and the refresh token.

The token is retrieved from the POST endpoint /oauth2/token using the following required parameters:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Key	Value	Explanation
grant_type	`password`	Specifies the grant type for token retrieval
client_id	`client_id`	The Client ID obtained from the OAuth 2 server configuration
client_secret	`client_secret`	The Client Secret obtained from the OAuth 2 server configuration
username	`username`	The ITONICS Innovation OS (Enterprise) application username
password	`password`	The password for the ITONICS Innovation OS (Enterprise) application

2. Refresh token grant type

The refresh token grant type allows a user to exchange an expired access token for a new, valid access token without requiring the user to re-authenticate with their username and password. You must execute the password grant type flow once to acquire the initial refresh token.

The new token is retrieved from the POST endpoint /oauth2/token.using the following required parameters:

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Key	Value	Explanation
grant_type	`refresh_token`	Specifies the grant type for token renewal
client_id	`client_id`	The Client ID obtained from the OAuth 2 server configuration
client_secret	`client_secret`	The Client Secret obtained from the OAuth 2 server configuration
refresh_token	`refresh_token`	The refresh token used to request a new access token

The access token must then be used in the header of all requests for authorization: Authorization: Bearer

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The ITONICS Innovation OS application offers two authentication types for the REST API: Basic Authentication and OAuth 2.

By default, Basic Authentication is enabled when the API is set up. Only one method can be active at a time. If you require OAuth 2, ITONICS can switch the authentication type upon request.

All API endpoints require the use of SSL with TLS 1.2 or above to ensure a secure connection between the ITONICS API and a client application/automation. Authentication is performed using HTTP basic authentication headers.

Returns a list of all elements for the specified type {entity_type} (e.g., itonics_trend). Includes all defined attributes for this {entity_type}, files (base64 encoded if configured), and relations (and if enabled, available visibility and external submitter information).

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In the midst of a critical shift, energy companies find themselves at the crossroads of innovation and responsibility. The burgeoning demand for data storage and processing power has led to an unprecedented increase in the carbon footprint of digital operations. As key players in the energy supply chain, these companies are now compelled to address the environmental impact of data centers, which are some of the largest consumers of electricity and contributors to carbon emissions globally.
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\\nAmid tightening environmental, social, and governance (ESG) regulations, energy companies are embracing Data Sustainability as an integral part of their strategic operations. This involves not only optimizing energy efficiency in existing data centers but also investing in renewable energy sources to power future expansions. By aligning with the sustainable practices of tech giants like Google and Amazon, which have already begun implementing green data initiatives, energy firms can reduce their carbon footprint and enhance their reputation as leaders in sustainable development.
\\n
\\nAs the proliferation of cloud computing continues to drive the expansion of data centers worldwide, the role of energy companies in fostering Data Sustainability becomes increasingly crucial. By innovating in energy management and supporting the transition to greener technologies, they can play a pivotal role in shaping a more sustainable digital future. This commitment not only meets regulatory requirements but also positions them as pioneers in a rapidly evolving landscape, where the balance between technological growth and environmental stewardship is paramount.

Returns a single element of type {entity_type} matching the URI {id}. Includes all defined attributes for this {entity_type}, files (base64 encoded if configured), and relations (incl. parent child relations if available), and if enabled/available visibility and external submitter information.

\n","urlObject":{"path":["api","{entity_type}","{id}.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"10376bff-089f-4467-ac1b-a6d74951de8e","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/itonics_trend/72/json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"id\": 72,\n \"generated_id\": \"TRE-142498-72\",\n \"tags\": \"data sustainability;big tech;google;amazon;cloud computing;data centers;environmental regulations;esg;tech companies\",\n \"header_image\": \"string\",\n \"created_at\": \"2025-07-23\",\n \"updated_at\": \"2025-07-23\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_trend\": [\n {\n \"entity_id\": 1,\n \"title\": \"Automating a Greener World\"\n },\n {\n \"entity_id\": 5,\n \"title\": \"Smart Cities\"\n }\n ],\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 21,\n \"title\": \"Energy Harvesting\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"last_review\": \"2025-10-29\",\n \"internal_experts_username\": \"john.doe,jane.innovation\",\n \"internal_experts_fullname\": \"John Doe, Jane Innovation\",\n \"trend_segment_hierarchy\": {\n \"trend_segment_hierarchy_entity_segment\": {\n \"2\": {\n \"label\": \"Technology\",\n \"parent\": \"0\"\n }\n },\n \"trend_segment_hierarchy_entity_sub_segment\": {\n \"131\": {\n \"label\": \"Rise of Artificial Intelligence\",\n \"parent\": \"2\"\n },\n \"134\": {\n \"label\": \"Rise of Data Analytics\",\n \"parent\": \"2\"\n }\n }\n },\n \"field_trend_maturity\": {\n \"field_trend_maturity_entity_segment\": {\n \"219\": {\n \"label\": \"Maturing\",\n \"parent\": \"0\"\n }\n }\n },\n \"internal_status\": {\n \"251\": \"2- Under evaluation\"\n },\n \"field_focus_trend\": {\n \"383\": \"Yes\"\n },\n \"field_trend_workflow\": {\n \"381\": \"Assess\"\n },\n \"field_my_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"field_expert_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"title\": \"Data Sustainability\",\n \"abstract\": \"Data Sustainability refers to growing awareness of the carbon footprint associated with storing and managing ever-growing quantities of data. As some of the biggest electricity users and carbon emitters in their big data supply chains, big tech companies such as Google and Amazon are incorporating Data Sustainability into their policies and practices. As cloud computing proliferates and more data centers are set up globally, Data Sustainability will become increasingly relevant as environmental, social, and governance (ESG) regulations tighten for tech companies.\",\n \"description\": \"

Returns the details of specific (child) element. If the element matching the URI {id} is a child element, then in the GET response the associated parent relation data will be provided.

\n","urlObject":{"path":["api","{entity_type}","{id}.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"83d29ffe-526c-44a6-bc30-8d429d405576","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/type_technology_application/54.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"id\": 54,\n \"generated_id\": \"TEC-APP-557179-54\",\n \"tags\": \"chatgpt;gpt-2;mathematical modeling;intelligence;computer science;machine learning;behavior modification;applied mathematics;open-source artificial intelligence;cognitive science;cognition\",\n \"header_image\": \"string\",\n \"created_at\": \"2023-02-01\",\n \"updated_at\": \"2023-07-14\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 34,\n \"title\": \"Creative AI\"\n },\n {\n \"entity_id\": 38,\n \"title\": \"Virtual Agents\"\n }\n ],\n \"itonics_company_tr3\": [\n {\n \"entity_id\": 71,\n \"title\": \"OpenAI\"\n }\n ],\n \"itonics_opportunityspace_tr3\": [\n {\n \"entity_id\": 9,\n \"title\": \"Applied Artificial Intelligence\"\n }\n ],\n \"itonics_innovation_project_tr3\": [\n {\n \"entity_id\": 1,\n \"title\": \"Application Re-factoring for Efficiency\"\n },\n {\n \"entity_id\": 13,\n \"title\": \"VITALISE: ICT tools for shared access\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"parent_relation\": {\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 34,\n \"title\": \"Creative AI\"\n }\n ]\n },\n \"technology_expert_username\": \"john.doe\",\n \"technology_expert_fullname\": \"John Doe\",\n \"field_recommendation\": {\n \"391\": \"Build\"\n },\n \"field_technology_partner\": {\n \"itonics_company_tr3\": [\n {\n \"entity_id\": 71,\n \"title\": \"OpenAI\"\n }\n ]\n },\n \"title\": \"ChatGPT- Chatbot using Artificial Intelligence\",\n \"abstract\": \"Chat Generative Pre-Trained Transformer, commonly called ChatGPT, is a chatbot launched by OpenAI in November 2022. It is built on top of OpenAI's GPT-3 family of large language models and is fine-tuned (an approach to transfer learning) with both supervised and reinforcement learning techniques. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.\",\n \"description\": \"

Chat Generative Pre-Trained Transformer, commonly called ChatGPT, is a chatbot launched by OpenAI in November 2022. It is built on top of OpenAI's GPT-3 family of large language models and is fine-tuned (an approach to transfer learning) with both supervised and reinforcement learning techniques. The dialogue format makes it possible for ChatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.

ChatGPT is a large language model chatbot developed by OpenAI based on GPT-3.5. It has a remarkable ability to interact in conversational dialogue form and provide responses that can appear surprisingly human.

Large language models (LLMs) perform the task of predicting the next word in a series of words. LLMs are trained with massive amounts of data to accurately predict what word comes next in a sentence. It was discovered that increasing the amount of data increased the ability of the language models to do more.

Reinforcement Learning with Human Feedback (RLHF) is an additional layer of training that uses human feedback to help ChatGPT learn the ability to follow directions and generate responses that are satisfactory to humans.

Returns the details of specific (parent) element. If the element matching the URI {id} is a parent element, then in the GET response all of its child elements will be enlisted.

\n","urlObject":{"path":["api","{entity_type}","{id}.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"66be7094-864f-41fc-82e1-2886e9fbff47","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/itonics_technology_tr3/34.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"id\": 34,\n \"generated_id\": \"TECH-757634-34\",\n \"tags\": \"artificial intelligence;machine learning;branches of science;computing;systems science;applied mathematics;cognition;emerging technologies;intelligence;computational neuroscience;learning;computer science;technology;cognitive science;creative ai;creative solutions;art and technology;data-driven analytics;predictive marketing;automated creativity;technology limitations;customer service;ai in music;ai in writing;ai limitations\",\n \"header_image\": \"string\",\n \"created_at\": \"2023-02-01\",\n \"updated_at\": \"2025-09-22\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_trend\": [\n {\n \"entity_id\": 38,\n \"title\": \"Ethical AI and bias mitigation\"\n }\n ],\n \"type_technology_application\": [\n {\n \"entity_id\": 54,\n \"title\": \"ChatGPT- Chatbot using Artificial Intelligence\"\n }\n ],\n \"itonics_company_tr3\": [\n {\n \"entity_id\": 71,\n \"title\": \"OpenAI\"\n }\n ],\n \"itonics_campaign_tr3\": [\n {\n \"entity_id\": 21,\n \"title\": \"Machine Learning Applications\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"child_relation\": {\n \"type_technology_application\": [\n {\n \"entity_id\": 54,\n \"title\": \"ChatGPT- Chatbot using Artificial Intelligence\"\n },\n {\n \"entity_id\": 55,\n \"title\": \"DALL·E 2\"\n },\n {\n \"entity_id\": 56,\n \"title\": \"ChatSonic- conversational AI powered chatbot\"\n },\n {\n \"entity_id\": 57,\n \"title\": \"Synthesia- AI Video Generation Platform\"\n },\n {\n \"entity_id\": 95,\n \"title\": \"CAI Investment Advisor\"\n },\n {\n \"entity_id\": 96,\n \"title\": \"Creative Financial Planner\"\n },\n {\n \"entity_id\": 97,\n \"title\": \"AI-Driven Loan Predictor\"\n },\n {\n \"entity_id\": 98,\n \"title\": \"Creative AI Gaming for Financial Literacy\"\n },\n {\n \"entity_id\": 99,\n \"title\": \"AI-Powered Fraud Detection System\"\n },\n {\n \"entity_id\": 100,\n \"title\": \"AI-Driven Account Optimization\"\n },\n {\n \"entity_id\": 101,\n \"title\": \"Predictive Fraud Detection\"\n },\n {\n \"entity_id\": 102,\n \"title\": \"AI-Powered Customer Service\"\n },\n {\n \"entity_id\": 103,\n \"title\": \"Behavior-Based Marketing\"\n },\n {\n \"entity_id\": 104,\n \"title\": \"Automated Investment Advisor\"\n },\n {\n \"entity_id\": 122,\n \"title\": \"CAI Aerospace Design Assistant\"\n },\n {\n \"entity_id\": 123,\n \"title\": \"Predictive Maintenance AI\"\n },\n {\n \"entity_id\": 124,\n \"title\": \"AI-based Flight Simulator\"\n },\n {\n \"entity_id\": 125,\n \"title\": \"CAI-based Aerospace Marketing Tool\"\n },\n {\n \"entity_id\": 126,\n \"title\": \"AI-Driven Aerospace Manufacturing\"\n },\n {\n \"entity_id\": 127,\n \"title\": \"CAI Financial Advisor\"\n },\n {\n \"entity_id\": 128,\n \"title\": \"Predictive Banking Behavior\"\n },\n {\n \"entity_id\": 129,\n \"title\": \"CAI Fraud Detection\"\n },\n {\n \"entity_id\": 130,\n \"title\": \"Artificial Loan Officer\"\n },\n {\n \"entity_id\": 131,\n \"title\": \"CAI Market Trend Analyzer\"\n },\n {\n \"entity_id\": 132,\n \"title\": \"CAI-Driven Automotive Design\"\n },\n {\n \"entity_id\": 133,\n \"title\": \"Predictive Maintenance AI\"\n },\n {\n \"entity_id\": 134,\n \"title\": \"CAI-based Customer Service\"\n },\n {\n \"entity_id\": 135,\n \"title\": \"Behavior-Based Marketing AI\"\n },\n {\n \"entity_id\": 136,\n \"title\": \"AI Gaming for Driver Training\"\n },\n {\n \"entity_id\": 137,\n \"title\": \"CAI-Powered Insurance Advisor\"\n },\n {\n \"entity_id\": 138,\n \"title\": \"AI-Driven Predictive Claim Management\"\n },\n {\n \"entity_id\": 139,\n \"title\": \"Behaviour-Based Premium Adjustment System\"\n },\n {\n \"entity_id\": 140,\n \"title\": \"Automated Insurance Underwriting\"\n },\n {\n \"entity_id\": 141,\n \"title\": \"AI-Enhanced Fraud Detection System\"\n }\n ]\n },\n \"next_review\": \"2025-12-22\",\n \"technology_expert_username\": \"john.doe\",\n \"technology_expert_fullname\": \"John Doe\",\n \"technology_segment_hierarchy\": {\n \"technology_segment_hierarchy_entity_segment\": {\n \"27\": {\n \"label\": \"Information & Communication Technology (ICT)\",\n \"parent\": \"0\"\n }\n },\n \"technology_segment_hierarchy_entity_sub_segment\": {\n \"155\": {\n \"label\": \"AI\",\n \"parent\": \"27\"\n }\n }\n },\n \"field_technology_segmentation\": {\n \"field_technology_segmentation_entity_segment\": {\n \"180\": {\n \"label\": \"Digital Technologies\",\n \"parent\": \"0\"\n }\n },\n \"field_technology_segmentation_entity_sub_segment\": {\n \"189\": {\n \"label\": \"Artificial Intelligence and Machine Learning\",\n \"parent\": \"180\"\n }\n }\n },\n \"technology_readiness_level\": {\n \"267\": \"TRL 6-7: Prototype in use\"\n },\n \"internal_status\": {\n \"252\": \"3- Feasibility study\"\n },\n \"impacted_business_technology\": null,\n \"pc_allow_submissions\": {\n \"463\": \"Yes\"\n },\n \"field_is_focus_technology_\": {\n \"388\": \"Yes\"\n },\n \"field_technology_process\": {\n \"385\": \"Exploration\"\n },\n \"field_technology_partner\": {\n \"itonics_company_tr3\": [\n {\n \"entity_id\": 71,\n \"title\": \"OpenAI\"\n }\n ]\n },\n \"field_related_projects\": {\n \"itonics_innovation_project_tr3\": [\n {\n \"entity_id\": 14,\n \"title\": \"Augmented Reality for Machine Maintenance and Repair\"\n }\n ]\n },\n \"field_groups\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"title\": \"Creative AI\",\n \"field_url\": null,\n \"abstract\": \"Creative AI (CAI) is the branch of artificial intelligence (AI) where a system is enabled to learn, understand, and interpret past datasets, patterns, and trends to deliver human-like creative solutions. CAI is a technological system that performs various tasks, whereas machine learning (ML) is more focused on solving particular problems. CAI delivers automated, creative solutions to a broad range of pursuits like art, music, writing, gaming, and many more. The technology presents various opportunities within data-driven analytics, customer service, and behavior-based predictive marketing. Its current limitations are related to unpredictability, high implementation costs, and requirements for supervised, continuous data integration.\",\n \"description\": \"

Implications for Innovation

Examples of art produced using CAI that can potentially rival human art are emerging. This has sparked a debate around the meaning and definition of art that will continue to influence the use and prevalence of the technology.
Organizations will likely need to develop measures to counter the ascendance of sophisticated deepfake CAI media that can spread dis- and misinformation.
Utilized with technologies like Programmatic Advertising, this technology can help provide detailed, tailored marketing content that considers consumer tastes and visual preferences.

How is it a Game Changer?

Creative AI technologies have the potential to fundamentally alter the world of visual art, music, entertainment, and digital marketing. As the technology advances, people will likely struggle to delineate between human-made and artificially intelligence-powered content. The ramifications for politics and information could be severe, and CAI policy will soon be imperative to prevent misuse. Policy will likewise need to keep pace with the rapid technological development of CAI as more organizations invest in and exploit it for lucrative opportunities.

\",\n \"number_of_followers\": 2,\n \"followers\": [\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"John Doe\",\n \"username\": \"john.doe\"\n },\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"Jane Innovation\",\n \"username\": \"jane.innovation\"\n }\n ],\n \"number_of_likes\": 1,\n \"liked_by\": [\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"John Doe\",\n \"username\": \"john.doe\"\n }\n ],\n \"number_of_comments\": 3,\n \"number_of_shares\": 0,\n \"number_of_views\": 488,\n \"attachments\": [\n {\n \"path\": \"https://www.nytimes.com/2022/09/02/technology/ai-artificial-intelligence-artists.html\",\n \"title\": \"https://www.nytimes.com\"\n }\n ],\n \"rating_info\": {\n \"number_ratings_active\": \"2\",\n \"number_ratings_inactive\": \"40\",\n \"rating_117_recommendation\": {\n \"criteria_name\": \"Recommendation\",\n \"average_string\": \"Explore\",\n \"average_decimal\": \"2.82\",\n \"users\": {\n \"0\": \"314\",\n \"1\": \"1761\"\n },\n \"rating_group\": \"Technology Rating\",\n \"rating_data\": [\n {\n \"user\": \"John Doe\",\n \"user_context\": \"IT\",\n \"rating_type\": \"group_technology_rating\",\n \"rating_value\": \"2.75\",\n \"rating_date\": \"2025-09-17\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"314\"\n },\n {\n \"user\": \"Jane Innovation\",\n \"user_context\": \"Software Engineering\",\n \"rating_type\": \"group_technology_rating\",\n \"rating_value\": \"2.9\",\n \"rating_date\": \"2025-09-05\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"1761\"\n }\n ]\n },\n \"technology_market_readiness\": {\n \"criteria_name\": \"Time to Market Readiness\",\n \"average_string\": \"6-10 years\",\n \"average_decimal\": \"1.77\",\n \"users\": {\n \"0\": \"314\",\n \"1\": \"1761\"\n },\n \"rating_group\": \"Technology Rating\",\n \"rating_data\": [\n {\n \"user\": \"John Doe\",\n \"user_context\": \"IT\",\n \"rating_type\": \"group_technology_rating\",\n \"rating_value\": \"1\",\n \"rating_date\": \"2025-09-17\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"314\"\n },\n {\n \"user\": \"Jane Innovation\",\n \"user_context\": \"Software Engineering\",\n \"rating_type\": \"group_technology_rating\",\n \"rating_value\": \"2\",\n \"rating_date\": \"2025-09-05\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"1761\"\n }\n ]\n },\n \"technology_business_potential\": {\n \"criteria_name\": \"Business Potential\",\n \"average_string\": \"High\",\n \"average_decimal\": \"3.54\",\n \"users\": {\n \"0\": \"314\",\n \"1\": \"1761\"\n },\n \"rating_group\": \"Technology Rating\",\n \"rating_data\": [\n {\n \"user\": \"John Doe\",\n \"user_context\": \"IT\",\n \"rating_type\": \"group_technology_rating\",\n \"rating_value\": \"2\",\n \"rating_date\": \"2025-09-17\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"314\"\n },\n {\n \"user\": \"Jane Innovation\",\n \"user_context\": \"Software Engineering\",\n \"rating_type\": \"group_technology_rating\",\n \"rating_value\": \"3\",\n \"rating_date\": \"2025-09-05\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"1761\"\n }\n ]\n }\n }\n}"}],"_postman_id":"5eed5a13-69fa-48b5-9e85-9d3d0b4cc2ab"}],"id":"2c982186-20be-4b20-a4d7-100e29b05c34","description":"

The following section lists all endpoints available for reading (retrieving) element data of regular entity_types from your ITONICS application via GET requests.

Returns a list of all campaign elements (type _itonics_campaign_tr_3__). Includes all defined attributes for this type, files (base64 encoded if configured), and relations.

\n","urlObject":{"path":["api","itonics_campaign_tr3.json"],"host":["{base_url}"],"query":[{"key":"page","value":"13"},{"key":"limit","value":"4"}],"variable":[]}},"response":[{"id":"21b13c1c-763f-4c0f-b3b5-57652fac30a4","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/itonics_campaign_tr3.json?page=1&limit=1","host":["{base_url}"],"path":["api","itonics_campaign_tr3.json"],"query":[{"key":"page","value":"1"},{"key":"limit","value":"1"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/itonics_trend.json?limit=2&page=1\",\n \"first\": \"{base_url}/api/itonics_trend.json?limit=2&page=0\",\n \"last\": \"{base_url}/api/itonics_trend.json?limit=2&page=21\",\n \"prev\": \"{base_url}/api/itonics_trend.json?limit=2&page=0\",\n \"next\": \"{base_url}/api/itonics_trend.json?limit=2&page=2\",\n \"list\": [\n {\n \"id\": 21,\n \"generated_id\": \"CAMP-460092-21\",\n \"phases\": {\n \"6\": {\n \"title\": \"Submission\",\n \"submissions\": {\n \"60\": {\n \"title\": \"ML to find clothes that truly fit\",\n \"entity_id\": \"60\"\n }\n }\n },\n \"2\": {\n \"title\": \"Review\",\n \"submissions\": []\n },\n \"3\": {\n \"title\": \"Evaluate\",\n \"submissions\": {\n \"59\": {\n \"title\": \"Predictive Marketing Analytics\",\n \"entity_id\": \"59\"\n },\n \"61\": {\n \"title\": \"Recognize challenging clients via machine learning\",\n \"entity_id\": \"61\"\n },\n \"62\": {\n \"title\": \"Translate Sentences while speaking with a Foreign Person\",\n \"entity_id\": \"62\"\n }\n }\n },\n \"5\": {\n \"title\": \"Selection\",\n \"submissions\": []\n },\n \"0\": {\n \"title\": \"Draft\",\n \"submissions\": {\n \"132\": {\n \"title\": \"ML-Powered Clinical Trials\",\n \"entity_id\": \"132\"\n },\n \"207\": {\n \"title\": \"ML Driven Predictive Maintenance\",\n \"entity_id\": \"207\"\n },\n \"208\": {\n \"title\": \"AI-Assisted Design\",\n \"entity_id\": \"208\"\n },\n \"209\": {\n \"title\": \"ML Optimized Supply Chain\",\n \"entity_id\": \"209\"\n },\n \"211\": {\n \"title\": \"ML Enhanced Customer Experience\",\n \"entity_id\": \"211\"\n }\n }\n }\n },\n \"visibility\": {\n \"invite_all\": \"Yes\"\n },\n \"tags\": \"technology;computer science;computational neuroscience;learning;branches of science;applied mathematics;machine learning;emerging technologies;computing;technological change\",\n \"header_image\": \"string\",\n \"created_at\": \"2023-11-03\",\n \"updated_at\": \"2024-03-07\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_trend\": [\n {\n \"entity_id\": 38,\n \"title\": \"Ethical AI and bias mitigation\"\n },\n {\n \"entity_id\": 39,\n \"title\": \"Explainable & Transparent Technologies\"\n }\n ],\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 34,\n \"title\": \"Creative AI\"\n }\n ],\n \"type_technology_application\": [\n {\n \"entity_id\": 48,\n \"title\": \"AI-powered Industrial Robots\"\n },\n {\n \"entity_id\": 57,\n \"title\": \"Synthesia- AI Video Generation Platform\"\n }\n ],\n \"itonics_opportunityspace_tr3\": [\n {\n \"entity_id\": 9,\n \"title\": \"Applied Artificial Intelligence\"\n }\n ],\n \"itonics_innovation_project_tr3\": [\n {\n \"entity_id\": 4,\n \"title\": \"Intelligent 4D Moulds\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"campaign_start_date\": \"2022-11-01\",\n \"campaign_end_date\": \"2025-11-30\",\n \"field_ende_phase_1\": null,\n \"field_challenge_managers_username\": \"john.doe\",\n \"field_challenge_managers_fullname\": \"John Doe\",\n \"field_campaign_type\": {\n \"378\": \"Top-Down\"\n },\n \"field_ext_firstname\": null,\n \"field_ext_lastname\": null,\n \"field_ext_email\": null,\n \"title\": \"Machine Learning Applications\",\n \"abstract\": \"Currently a lot of our systems could be improved through clever application of ML capabilities. We need you guidance on ideas for application in various areas of our business. This could be products or services and of course our internal systems.\",\n \"description\": \"

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

Because of new computing technologies, machine learning today is not like machine learning of the past. It was born from pattern recognition and the theory that computers can learn without being programmed to perform specific tasks; researchers interested in artificial intelligence wanted to see if computers could learn from data. The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results. It’s a science that’s not new – but one that has gained fresh momentum.

Resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. Things like growing volumes and varieties of available data, computational processing that is cheaper and more powerful, and affordable data storage.

All of these things mean it's possible to quickly and automatically produce models that can analyze bigger, more complex data and deliver faster, more accurate results – even on a very large scale. And by building precise models, an organization has a better chance of identifying profitable opportunities – or avoiding unknown risks.

\",\n \"field_problem_statement\": null,\n \"number_of_followers\": 2,\n \"followers\": [\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"John Doe\",\n \"username\": \"john.doe\"\n },\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"Jane Innovation\",\n \"username\": \"jane.innovation\"\n }\n ],\n \"number_of_likes\": 1,\n \"liked_by\": [\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"John Doe\",\n \"username\": \"john.doe\"\n }\n ],\n \"number_of_comments\": 0,\n \"number_of_shares\": 0,\n \"number_of_views\": 124,\n \"attachments\": []\n }\n ]\n}"}],"_postman_id":"3fe5adc6-b961-4a61-aeb7-618eb38c9960"},{"name":"Single campaign","id":"cb1867c3-39f1-4ae9-a9af-aa06741a1ef5","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF_Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/itonics_campaign_tr3/{campaign_id}.json","description":"

Returns a single campaign element (type _itonics_campaign_tr3_) matching the URI {id}. Includes all defined attributes for this type, files (base64 encoded if configured), and relations. Further, campaign-specific (matching the URI _{id}_) phase information, number of submissions per phase, and visibility information.

\n","urlObject":{"path":["api","itonics_campaign_tr3","{campaign_id}.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"24c0b15d-d159-4f24-91de-7d5bcc9a9bac","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/itonics_campaign_tr3/21.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n \"id\": 21,\n \"generated_id\": \"CAMP-460092-21\",\n \"phases\": {\n \"0\": {\n \"title\": \"Draft\",\n \"submissions\": {\n \"132\": {\n \"title\": \"ML-Powered Clinical Trials\",\n \"entity_id\": \"132\"\n },\n \"207\": {\n \"title\": \"ML Driven Predictive Maintenance\",\n \"entity_id\": \"207\"\n },\n \"208\": {\n \"title\": \"AI-Assisted Design\",\n \"entity_id\": \"208\"\n },\n \"209\": {\n \"title\": \"ML Optimized Supply Chain\",\n \"entity_id\": \"209\"\n },\n \"211\": {\n \"title\": \"ML Enhanced Customer Experience\",\n \"entity_id\": \"211\"\n }\n }\n },\n \"2\": {\n \"title\": \"Review\",\n \"submissions\": []\n },\n \"3\": {\n \"title\": \"Evaluate\",\n \"submissions\": {\n \"59\": {\n \"title\": \"Predictive Marketing Analytics\",\n \"entity_id\": \"59\"\n },\n \"61\": {\n \"title\": \"Recognize challenging clients via machine learning\",\n \"entity_id\": \"61\"\n },\n \"62\": {\n \"title\": \"Translate Sentences while speaking with a Foreign Person\",\n \"entity_id\": \"62\"\n }\n }\n },\n \"5\": {\n \"title\": \"Selection\",\n \"submissions\": []\n },\n \"6\": {\n \"title\": \"Submission\",\n \"submissions\": {\n \"60\": {\n \"title\": \"ML to find clothes that truly fit\",\n \"entity_id\": \"60\"\n }\n }\n }\n },\n \"visibility\": {\n \"invite_all\": \"Yes\"\n },\n \"tags\": \"technology;computer science;computational neuroscience;learning;branches of science;applied mathematics;machine learning;emerging technologies;computing;technological change\",\n \"header_image\": \"string\",\n \"created_at\": \"2023-11-03\",\n \"updated_at\": \"2024-03-07\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_trend\": [\n {\n \"entity_id\": 38,\n \"title\": \"Ethical AI and bias mitigation\"\n },\n {\n \"entity_id\": 39,\n \"title\": \"Explainable & Transparent Technologies\"\n }\n ],\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 34,\n \"title\": \"Creative AI\"\n }\n ],\n \"type_technology_application\": [\n {\n \"entity_id\": 48,\n \"title\": \"AI-powered Industrial Robots\"\n },\n {\n \"entity_id\": 57,\n \"title\": \"Synthesia- AI Video Generation Platform\"\n }\n ],\n \"itonics_opportunityspace_tr3\": [\n {\n \"entity_id\": 9,\n \"title\": \"Applied Artificial Intelligence\"\n }\n ],\n \"itonics_innovation_project_tr3\": [\n {\n \"entity_id\": 4,\n \"title\": \"Intelligent 4D Moulds\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"campaign_start_date\": \"2022-11-01\",\n \"campaign_end_date\": \"2025-11-30\",\n \"field_ende_phase_1\": null,\n \"field_challenge_managers_username\": \"john.doe\",\n \"field_challenge_managers_fullname\": \"John Doe\",\n \"field_campaign_type\": {\n \"378\": \"Top-Down\"\n },\n \"field_ext_firstname\": null,\n \"field_ext_lastname\": null,\n \"field_ext_email\": null,\n \"title\": \"Machine Learning Applications\",\n \"abstract\": \"Currently a lot of our systems could be improved through clever application of ML capabilities. We need you guidance on ideas for application in various areas of our business. This could be products or services and of course our internal systems.\",\n \"description\": \"

Retrieving data of campaign elements.

Returns a list of all Idea elements (type _itonics_idea_). Includes all default attributes, campaign-specific custom submission field information, (active) phase information, author & evaluator assignments, rating information (past/active phases, 5-star), and external submitter information (if available) for each idea element associated with its campaign.

\n","urlObject":{"path":["api","itonics_idea.json"],"host":["{base_url}"],"query":[{"key":"page","value":"2"},{"key":"limit","value":"4"}],"variable":[]}},"response":[{"id":"93f03e33-82c3-44ad-8804-97729df1a6b2","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/itonics_idea.json?page=2&limit=2","host":["{base_url}"],"path":["api","itonics_idea.json"],"query":[{"key":"page","value":"2"},{"key":"limit","value":"2"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/itonics_trend.json?limit=2&page=1\",\n \"first\": \"{base_url}/api/itonics_trend.json?limit=2&page=0\",\n \"last\": \"{base_url}/api/itonics_trend.json?limit=2&page=21\",\n \"prev\": \"{base_url}/api/itonics_trend.json?limit=2&page=0\",\n \"next\": \"{base_url}/api/itonics_trend.json?limit=2&page=2\",\n \"list\": [\n {\n \"id\": 60,\n \"generated_id\": \"SUB-60\",\n \"five_star\": 0,\n \"tags\": \"retail;clothing;supply chain optimisation;brand management;artificial intelligence;learning;machine learning;computer science;technology;emerging technologies\",\n \"header_image\": \"string\",\n \"created_at\": \"2022-11-17\",\n \"updated_at\": \"2022-11-17\",\n \"creator_uid\": null,\n \"creator_uuid\": null,\n \"creator_fullname\": \"Anonymous\",\n \"creator_username\": null,\n \"editor_uid\": null,\n \"editor_uuid\": null,\n \"editor_fullname\": \"Anonymous\",\n \"editor_username\": null,\n \"relations\": {\n \"itonics_campaign_tr3\": [\n {\n \"entity_id\": 21,\n \"title\": \"Machine Learning Applications\"\n }\n ]\n },\n \"status\": \"Selection\",\n \"is_archived\": null,\n \"entity_authors_username\": \"john.doe\",\n \"entity_authors_fullname\": \"John Doe\",\n \"title\": \"ML to find clothes that truly fit\",\n \"abstract\": \"Using machine learning to suggest accurate and personalized style and size recommendations.\",\n \"description\": \"

Taking a few measurements from customers and using a machine-learning algorithm to suggest accurate and personalized style and size recommendations. For retailers, data analysis could be provided to help maximize inventory and supply chain efficiency and to help boost brand loyalty with insight into customer preferences.Another service for retailers could be to provide a much simpler method for photographing and publishing new collections. Models are digitally dressed, allowing for endless changes and different styling options without the high cost of reshoots and retouching, because of the ML-supported measuring and styling.

Introducing our groundbreaking Machine Learning application: ClientFit Analyzer. In today's competitive landscape, identifying high-value clients is crucial for business success. ClientFit Analyzer utilizes advanced algorithms to analyze first touchpoints with clients, discerning subtle cues that indicate potential challenges. By assigning a ClientFit Score measured against projected revenue, this tool empowers businesses to make informed decisions, avoiding costly ventures with clients likely to generate more expenses than income. With ClientFit Analyzer, maximize profitability and streamline client selection processes like never before.

\",\n \"number_of_followers\": 0,\n \"followers\": null,\n \"number_of_likes\": 1,\n \"liked_by\": [\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"Jane Innovation\",\n \"username\": \"jane.innovation\"\n },\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"John Doe\",\n \"username\": \"john.doe\"\n }\n ],\n \"number_of_comments\": 0,\n \"number_of_shares\": 0,\n \"number_of_views\": 28,\n \"attachments\": []\n }\n ]\n}"}],"_postman_id":"c29f99f4-c957-4083-be9d-e1dafe67be45"},{"name":"All submissions of a specific campaign","id":"06811a82-3f0e-4465-bb0e-d2ace2c57c45","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/itonics_idea.json?page=2&limit=4&camp_id={id}","urlObject":{"path":["api","itonics_idea.json"],"host":["{base_url}"],"query":[{"key":"page","value":"2"},{"key":"limit","value":"4"},{"key":"camp_id","value":"{id}"}],"variable":[]}},"response":[{"id":"6cde2b88-aa81-4931-b899-e73be805a455","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/itonics_idea.json?page=2&limit=1&camp_id=10","host":["{base_url}"],"path":["api","itonics_idea.json"],"query":[{"key":"page","value":"2"},{"key":"limit","value":"1"},{"key":"camp_id","value":"10"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/itonics_idea.json?page=2&limit=1&camp_id=10\",\n \"first\": \"{base_url}/api/itonics_idea.json?page=0&limit=1&camp_id=10\",\n \"last\": \"{base_url}/api/itonics_idea.json?page=21&limit=1&camp_id=10\",\n \"prev\": \"{base_url}/api/itonics_idea.json?page=1&limit=1&camp_id=10\",\n \"next\": \"{base_url}/api/itonics_idea.json?page=3&limit=1&camp_id=10\",\n \"list\": [\n {\n \"id\": 60,\n \"generated_id\": \"SUB-60\",\n \"five_star\": 0,\n \"tags\": \"retail;clothing;supply chain optimisation;brand management;artificial intelligence;learning;machine learning;computer science;technology;emerging technologies\",\n \"header_image\": \"string\",\n \"created_at\": \"2022-11-17\",\n \"updated_at\": \"2022-11-17\",\n \"creator_uid\": null,\n \"creator_uuid\": null,\n \"creator_fullname\": \"Anonymous\",\n \"creator_username\": null,\n \"editor_uid\": null,\n \"editor_uuid\": null,\n \"editor_fullname\": \"Anonymous\",\n \"editor_username\": null,\n \"relations\": {\n \"itonics_campaign_tr3\": [\n {\n \"entity_id\": 21,\n \"title\": \"Machine Learning Applications\"\n }\n ]\n },\n \"field_124\": \"Dummy text for custom submission field\",\n \"status\": \"Selection\",\n \"is_archived\": null,\n \"entity_authors_username\": \"john.doe\",\n \"entity_authors_fullname\": \"John Doe\",\n \"title\": \"ML to find clothes that truly fit\",\n \"abstract\": \"Using machine learning to suggest accurate and personalized style and size recommendations.\",\n \"description\": \"

Returns a single Idea element (type _itonics_idea_) matching the URI {id}. Includes all default attributes, campaign-specific custom submission field information, (active) phase information, author & evaluator assignments, rating information (past/active phases, 5-star), and external submitter information (if available) matching the URI {id}.

\n","urlObject":{"path":["api","itonics_idea","{submission_id}.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"2331f8d6-5801-4451-bd3c-9ee2b51b0324","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/itonics_idea/61.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"id\": 61,\n \"generated_id\": \"SUB-61\",\n \"five_star\": 0,\n \"ratings\": {\n \"3\": {\n \"Evaluate\": {\n \"idea_fit\": {\n \"criteria_name\": \"Idea Fit\",\n \"average_decimal\": \"2.00\",\n \"average_string\": \"High\",\n \"users\": 1\n },\n \"complexity\": {\n \"criteria_name\": \"Complexity\",\n \"average_decimal\": \"1.00\",\n \"average_string\": \"Medium\",\n \"users\": 1\n },\n \"disruptive_potential\": {\n \"criteria_name\": \"Disruptive Potential\",\n \"average_decimal\": \"2.00\",\n \"average_string\": \"High\",\n \"users\": 1\n }\n }\n }\n },\n \"tags\": \"machine learning;karen;issues in ethics;communication;public sphere;artificial intelligence;cognitive science;computer science\",\n \"header_image\": \"string\",\n \"created_at\": \"2022-11-17\",\n \"updated_at\": \"2025-06-04\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"John Doe\",\n \"creator_username\": \"john.doe\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_campaign_tr3\": [\n {\n \"entity_id\": 21,\n \"title\": \"Machine Learning Applications\"\n }\n ],\n \"itonics_innovation_project_tr3\": [\n {\n \"entity_id\": 63,\n \"title\": \"AI-Powered Voyage Emissions Optimizer\"\n }\n ]\n },\n \"status\": \"Selection\",\n \"is_archived\": null,\n \"entity_authors_username\": \"john.doe\",\n \"entity_authors_fullname\": \"John Doe\",\n \"title\": \"Recognize challenging clients via machine learning\",\n \"abstract\": \"The idea is to train a model that recognizes \\\"challenging\\\" clients by listening in first touchpoints. By creating a score that is measured against the potential revenue, you can avoid loosing money by going into a project with a client that produces more costs than revenue.\",\n \"description\": \"

Retrieving data of submission elements.

The following section lists all endpoints available for reading (retrieving) ideation (element) data from your ITONICS application via GET requests.

Returns all attributes and their machine names, incl. mandatory options, validations, and selection options for the specified {entity_type}.

\n","urlObject":{"path":["api","entity_field_properties.json"],"host":["{base_url}"],"query":[{"key":"type","value":"{entity_type}"}],"variable":[]}},"response":[{"id":"b6bc2395-85ab-4270-8178-988d7fdfff31","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/entity_field_properties.json?type=itonics_trend","host":["{base_url}"],"path":["api","entity_field_properties.json"],"query":[{"key":"type","value":"itonics_trend"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/entity_field_properties.json?type=itonics_trend\",\n \"first\": \"{base_url}/api/entity_field_properties.json?type=itonics_trend&page=0\",\n \"last\": \"{base_url}/api/entity_field_properties.json?type=itonics_trend&page=9\",\n \"next\": \"{base_url}/api/entity_field_properties.json?type=itonics_trend&page=1\",\n \"list\": {\n \"title\": {\n \"label\": \"Trend Name\",\n \"type\": \"custom_textfield\",\n \"required\": true\n },\n \"itonics_trend_header_image\": {\n \"label\": \"Profile Image\",\n \"type\": \"imagefield\",\n \"required\": false\n },\n \"abstract\": {\n \"label\": \"Abstract\",\n \"type\": \"custom_textarea\",\n \"required\": true\n },\n \"description\": {\n \"label\": \"Definition & Scope\",\n \"type\": \"custom_rte\",\n \"required\": false\n },\n \"trend_segment_hierarchy\": {\n \"trend_segment_hierarchy_entity_segment\": {\n \"label\": \"Trend Segment\",\n \"type\": \"custom_list\",\n \"required\": false,\n \"options\": {\n \"1\": {\n \"label\": \"Society\",\n \"parent\": \"0\"\n },\n \"2\": {\n \"label\": \"Technology\",\n \"parent\": \"0\"\n },\n \"3\": {\n \"label\": \"Environment\",\n \"parent\": \"0\"\n },\n \"4\": {\n \"label\": \"Economy\",\n \"parent\": \"0\"\n },\n \"5\": {\n \"label\": \"Politics & Law\",\n \"parent\": \"0\"\n }\n },\n \"is_multiple\": true\n },\n \"trend_segment_hierarchy_entity_sub_segment\": {\n \"label\": \"Trend Sub-Segment\",\n \"type\": \"custom_list\",\n \"required\": false,\n \"options\": {\n \"124\": {\n \"label\": \"Rising Access to Education\",\n \"parent\": \"1\"\n },\n \"125\": {\n \"label\": \"Increasing Mobility\",\n \"parent\": \"1\"\n },\n \"126\": {\n \"label\": \"Demographic Change\",\n \"parent\": \"1\"\n },\n \"127\": {\n \"label\": \"Sub-Cultures and Lifestyles\",\n \"parent\": \"1\"\n },\n \"128\": {\n \"label\": \"Rising Social Integration\",\n \"parent\": \"1\"\n },\n \"129\": {\n \"label\": \"Awareness of Health Issues\",\n \"parent\": \"1\"\n },\n \"130\": {\n \"label\": \"Influence of Social Networks\",\n \"parent\": \"1\"\n },\n \"131\": {\n \"label\": \"Rise of Artificial Intelligence\",\n \"parent\": \"2\"\n },\n \"132\": {\n \"label\": \"Mobility Technology\",\n \"parent\": \"2\"\n },\n \"133\": {\n \"label\": \"Progress in Life Sciences\",\n \"parent\": \"2\"\n },\n \"134\": {\n \"label\": \"Rise of Data Analytics\",\n \"parent\": \"2\"\n },\n \"135\": {\n \"label\": \"New Materials\",\n \"parent\": \"2\"\n },\n \"136\": {\n \"label\": \"Rising Smart Technologies\",\n \"parent\": \"2\"\n },\n \"137\": {\n \"label\": \"Resource Depletion\",\n \"parent\": \"3\"\n },\n \"138\": {\n \"label\": \"Alternative Energy\",\n \"parent\": \"3\"\n },\n \"139\": {\n \"label\": \"Climate Change\",\n \"parent\": \"3\"\n },\n \"140\": {\n \"label\": \"Rising Sustainable Agriculture\",\n \"parent\": \"3\"\n },\n \"141\": {\n \"label\": \"Challenging Urban Infrastructure\",\n \"parent\": \"3\"\n },\n \"142\": {\n \"label\": \"New Consumer Behaviours\",\n \"parent\": \"4\"\n },\n \"143\": {\n \"label\": \"Customer Engagement\",\n \"parent\": \"4\"\n },\n \"144\": {\n \"label\": \"Geo-Political Realignments\",\n \"parent\": \"4\"\n },\n \"145\": {\n \"label\": \"Converging Business Sectors\",\n \"parent\": \"4\"\n },\n \"146\": {\n \"label\": \"Growing Alternative Economy\",\n \"parent\": \"4\"\n },\n \"147\": {\n \"label\": \"Rising Unemployment\",\n \"parent\": \"4\"\n },\n \"148\": {\n \"label\": \"Disillusionment in Institutions\",\n \"parent\": \"5\"\n },\n \"149\": {\n \"label\": \"Rise in Internet and Privacy Concerns\",\n \"parent\": \"5\"\n },\n \"150\": {\n \"label\": \"Geo-Political Realignments\",\n \"parent\": \"5\"\n },\n \"151\": {\n \"label\": \"Rising Citizen Activism\",\n \"parent\": \"5\"\n }\n },\n \"is_multiple\": true\n }\n },\n \"internal_status\": {\n \"label\": \"Internal Status\",\n \"type\": \"searchable_field\",\n \"required\": false,\n \"is_multiple\": false,\n \"options\": {\n \"251\": \"2- Under evaluation\",\n \"252\": \"3- Feasibility study\",\n \"253\": \"4- Pilot phase\",\n \"254\": \"5- Implementation\",\n \"255\": \"1- No internal activities\"\n }\n },\n \"last_review\": {\n \"label\": \"Assessment Deadline\",\n \"type\": \"custom_datefield\",\n \"required\": false\n },\n \"internal_experts\": {\n \"label\": \"Internal Experts\",\n \"type\": \"custom_autosuggest\",\n \"required\": false,\n \"description\": \"Please provide either username or email.\"\n },\n \"itonics_trend_tags\": {\n \"label\": \"Tags\",\n \"type\": \"social_tags\",\n \"required\": false\n },\n \"field_trend_workflow\": {\n \"label\": \"Trend Workflow\",\n \"type\": \"searchable_field\",\n \"required\": false,\n \"is_multiple\": false,\n \"options\": {\n \"380\": \"Monitor\",\n \"381\": \"Assess\",\n \"382\": \"Recommend\"\n }\n },\n \"field_focus_trend\": {\n \"label\": \"Is Focus Trend?\",\n \"type\": \"custom_radio_button\",\n \"required\": true,\n \"is_multiple\": null,\n \"options\": {\n \"383\": \"Yes\",\n \"384\": \"No\"\n }\n },\n \"field_my_group\": {\n \"type\": \"custom_group_autosuggest\",\n \"label\": \"My Group\",\n \"required\": false,\n \"group_search_config\": {\n \"group\": {\n \"2\": \"Sales\"\n },\n \"context\": []\n }\n },\n \"field_expert_group\": {\n \"type\": \"custom_group_autosuggest\",\n \"label\": \"Expert Group\",\n \"required\": false,\n \"group_search_config\": {\n \"group\": [],\n \"context\": {\n \"Area of Expertise\": {\n \"465\": \"Artificial Intelligence\",\n \"466\": \"Product Development\",\n \"467\": \"Copywriting\",\n \"468\": \"Software Engineering\",\n \"469\": \"System Architecture\",\n \"470\": \"Drive Systems\"\n }\n }\n }\n },\n \"field_trend_maturity\": {\n \"field_trend_maturity_entity_segment\": {\n \"label\": \"Trend Maturity\",\n \"type\": \"custom_list\",\n \"required\": false,\n \"options\": {\n \"217\": {\n \"label\": \"Emerging\",\n \"parent\": \"0\"\n },\n \"218\": {\n \"label\": \"Evolving\",\n \"parent\": \"0\"\n },\n \"219\": {\n \"label\": \"Maturing\",\n \"parent\": \"0\"\n },\n \"220\": {\n \"label\": \"Ageing\",\n \"parent\": \"0\"\n }\n },\n \"is_multiple\": false\n }\n },\n \"status\": {\n \"label\": \"Status\",\n \"type\": \"custom_status_field\",\n \"description\": \"Send 0 to change entity phase to draft or 1 to publish or 2 to review entity.\"\n },\n \"is_archived\": {\n \"label\": \"Archived\",\n \"type\": \"custom_archive_field\",\n \"description\": \"Send 1 to archive or 0 to remove archive from entity.\"\n },\n \"relations\": {\n \"itonics_trend\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_technology_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_technology_application\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_startup\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_company_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_voice_of_customer_voc_\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_inspiration_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_opportunityspace_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_idea_entity\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_campaign_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_innovation_project_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_miscellaneous\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_idea\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_roadmap_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n }\n }\n }\n}"}],"_postman_id":"9571e4a3-49ea-444f-872a-448ee525c56f"}],"id":"a70ba25b-002f-4f19-8d9b-988b1f19d6cd","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"event":[{"listen":"prerequest","script":{"id":"04dec268-07d6-4a6e-8890-86acd2bac2b4","type":"text/javascript","packages":{},"requests":{},"exec":[""]}},{"listen":"test","script":{"id":"e564075f-017c-4755-b69c-261966458dd8","type":"text/javascript","packages":{},"requests":{},"exec":[""]}}],"_postman_id":"a70ba25b-002f-4f19-8d9b-988b1f19d6cd","description":""},{"name":"Campaign/submission field properties","item":[{"name":"Campaign field properties","item":[{"name":"Campaign entity field properties","id":"3f0d64df-00fa-4d44-b70f-8c8fc77e5692","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF_Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/entity_field_properties.json?type=itonics_campaign_tr3","description":"

Returns all attributes and their machine names, incl. mandatory options, validations, and selection options for the campaign entity (type _itonics_campaign_tr3_).

\n","urlObject":{"path":["api","entity_field_properties.json"],"host":["{base_url}"],"query":[{"key":"type","value":"itonics_campaign_tr3"}],"variable":[]}},"response":[{"id":"68383663-26ad-4d26-8fc0-7e4bf1ac18b3","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/entity_field_properties.json?type=itonics_campaign_tr3","host":["{base_url}"],"path":["api","entity_field_properties.json"],"query":[{"key":"type","value":"itonics_campaign_tr3"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/entity_field_properties.json?type=itonics_campaign_tr3\",\n \"first\": \"{base_url}/api/entity_field_properties.json?type=itonics_campaign_tr3&page=0\",\n \"last\": \"{base_url}/api/entity_field_properties.json?type=itonics_campaign_tr3&page=9\",\n \"next\": \"{base_url}/api/entity_field_properties.json?type=itonics_campaign_tr3&page=1\",\n \"list\": {\n \"field_ext_firstname\": {\n \"label\": \"First Name\",\n \"type\": \"custom_textfield\",\n \"required\": true\n },\n \"field_ext_lastname\": {\n \"label\": \"Last Name\",\n \"type\": \"custom_textfield\",\n \"required\": true\n },\n \"field_ext_email\": {\n \"label\": \"E-mail\",\n \"type\": \"custom_textfield\",\n \"required\": true,\n \"isEmail\": true\n },\n \"title\": {\n \"label\": \"Campaign Title\",\n \"type\": \"custom_textfield\",\n \"required\": true\n },\n \"abstract\": {\n \"label\": \"Abstract\",\n \"type\": \"custom_textarea\",\n \"required\": true\n },\n \"itonics_campaign_header_image\": {\n \"label\": \"Profile Image\",\n \"type\": \"imagefield\",\n \"required\": false\n },\n \"campaign_start_date\": {\n \"label\": \"Start Date\",\n \"type\": \"custom_datefield\",\n \"required\": true\n },\n \"campaign_end_date\": {\n \"label\": \"End Date\",\n \"type\": \"custom_datefield\",\n \"required\": false\n },\n \"field_challenge_managers\": {\n \"label\": \"Campaign Managers\",\n \"type\": \"custom_autosuggest\",\n \"required\": false,\n \"description\": \"Please provide either username or email.\"\n },\n \"description\": {\n \"label\": \"Description\",\n \"type\": \"custom_rte\",\n \"required\": false\n },\n \"itonics_campaign_tags\": {\n \"label\": \"Tags\",\n \"type\": \"social_tags\",\n \"required\": false\n },\n \"field_campaign_type\": {\n \"label\": \"Campaign Category\",\n \"type\": \"custom_radio_button\",\n \"required\": true,\n \"is_multiple\": null,\n \"options\": {\n \"378\": \"Top-Down\",\n \"379\": \"Bottom-Up\"\n }\n },\n \"field_ende_phase_1\": {\n \"label\": \"Ende Phase 1\",\n \"type\": \"custom_datefield\",\n \"required\": false\n },\n \"field_problem_statement\": {\n \"label\": \"Problem Statement\",\n \"type\": \"custom_rte\",\n \"required\": false\n },\n \"status\": {\n \"label\": \"Status\",\n \"type\": \"custom_status_field\",\n \"description\": \"Send 0 to draft or 1 to publish entity.\"\n },\n \"is_archived\": {\n \"label\": \"Archived\",\n \"type\": \"custom_archive_field\",\n \"description\": \"Send 1 to archive or 0 to remove archive from entity.\"\n },\n \"relations\": {\n \"itonics_trend\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_technology_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_technology_application\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_startup\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_company_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_voice_of_customer_voc_\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_inspiration_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_opportunityspace_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_idea_entity\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_campaign_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_innovation_project_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_miscellaneous\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_idea\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_roadmap_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n }\n }\n }\n}"}],"_postman_id":"3f0d64df-00fa-4d44-b70f-8c8fc77e5692"},{"name":"Individual campaign field poperties","id":"09e06478-f0e7-45fa-bd6f-2214708b14d5","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/entity_field_properties.json?type=itonics_campaign_tr3&entity_id={campaign_id}","description":"

Returns all attributes and their machine names for the campaign entity (type _itonics_campaign_tr3_), and further the campaign-specific phase configuration, rating criteria per phase, and custom submission field information (incl. mandatory options, validations, and selection options) matching the URI {id}.

\n","urlObject":{"path":["api","entity_field_properties.json"],"host":["{base_url}"],"query":[{"key":"type","value":"itonics_campaign_tr3"},{"key":"entity_id","value":"{campaign_id}"}],"variable":[]}},"response":[{"id":"4256918d-a5e3-44f6-9a5b-9ef4df92f80f","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/entity_field_properties.json?type=itonics_campaign_tr3&entity_id=21","host":["{base_url}"],"path":["api","entity_field_properties.json"],"query":[{"key":"type","value":"itonics_campaign_tr3"},{"key":"entity_id","value":"21"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/entity_field_properties.json?type=itonics_campaign_tr3&entity_id=21\",\n \"first\": \"{base_url}/api/entity_field_properties.json?type=itonics_campaign_tr3&entity_id=21&page=0\",\n \"last\": \"{base_url}/api/entity_field_properties.json?type=itonics_campaign_tr3&entity_id=21&page=9\",\n \"next\": \"{base_url}/api/entity_field_properties.json?type=itonics_campaign_tr3&entity_id=21&page=1\",\n \"list\": {\n \"field_ext_firstname\": {\n \"label\": \"First Name\",\n \"type\": \"custom_textfield\",\n \"required\": true\n },\n \"field_ext_lastname\": {\n \"label\": \"Last Name\",\n \"type\": \"custom_textfield\",\n \"required\": true\n },\n \"field_ext_email\": {\n \"label\": \"E-mail\",\n \"type\": \"custom_textfield\",\n \"required\": true,\n \"isEmail\": true\n },\n \"title\": {\n \"label\": \"Campaign Title\",\n \"type\": \"custom_textfield\",\n \"required\": true\n },\n \"abstract\": {\n \"label\": \"Abstract\",\n \"type\": \"custom_textarea\",\n \"required\": true\n },\n \"itonics_campaign_header_image\": {\n \"label\": \"Profile Image\",\n \"type\": \"imagefield\",\n \"required\": false\n },\n \"campaign_start_date\": {\n \"label\": \"Start Date\",\n \"type\": \"custom_datefield\",\n \"required\": true\n },\n \"campaign_end_date\": {\n \"label\": \"End Date\",\n \"type\": \"custom_datefield\",\n \"required\": false\n },\n \"field_challenge_managers\": {\n \"label\": \"Campaign Managers\",\n \"type\": \"custom_autosuggest\",\n \"required\": false,\n \"description\": \"Please provide either username or email.\"\n },\n \"description\": {\n \"label\": \"Description\",\n \"type\": \"custom_rte\",\n \"required\": false\n },\n \"itonics_campaign_tags\": {\n \"label\": \"Tags\",\n \"type\": \"social_tags\",\n \"required\": false\n },\n \"field_campaign_type\": {\n \"label\": \"Campaign Category\",\n \"type\": \"custom_radio_button\",\n \"required\": true,\n \"is_multiple\": null,\n \"options\": {\n \"378\": \"Top-Down\",\n \"379\": \"Bottom-Up\"\n }\n },\n \"field_ende_phase_1\": {\n \"label\": \"Ende Phase 1\",\n \"type\": \"custom_datefield\",\n \"required\": false\n },\n \"field_problem_statement\": {\n \"label\": \"Problem Statement\",\n \"type\": \"custom_rte\",\n \"required\": false\n },\n \"submission_definitions\": {\n \"title_de\": {\n \"field_id\": \"119\",\n \"label\": \"Title\",\n \"type\": \"custom_textfield\",\n \"required\": false\n },\n \"itonics_idea_header_image\": {\n \"field_id\": \"120\",\n \"label\": \"Header Image\",\n \"type\": \"imagefield\",\n \"required\": false\n },\n \"abstract_de\": {\n \"field_id\": \"121\",\n \"label\": \"Abstract\",\n \"type\": \"custom_textarea\",\n \"required\": false\n },\n \"description_de\": {\n \"field_id\": \"122\",\n \"label\": \"Description\",\n \"type\": \"custom_rte\",\n \"required\": false\n },\n \"itoncis_idea_tags\": {\n \"field_id\": \"123\",\n \"label\": \"Tags\",\n \"type\": \"social_tags\",\n \"required\": false\n },\n \"entity_authors\": {\n \"field_id\": \"124\",\n \"label\": \"Authors\",\n \"type\": \"custom_autosuggest\",\n \"required\": false\n }\n },\n \"phases\": {\n \"2\": {\n \"title\": \"Review\",\n \"ratings\": [],\n \"rating_permission\": [\n []\n ]\n },\n \"3\": {\n \"title\": \"Evaluate\",\n \"ratings\": {\n \"idea_fit\": {\n \"id\": \"1\",\n \"title\": \"Idea Fit\",\n \"mandatory\": false,\n \"options\": {\n \"1\": \"Low\",\n \"2\": \"Medium\",\n \"3\": \"High\"\n }\n },\n \"complexity\": {\n \"id\": \"2\",\n \"title\": \"Complexity\",\n \"mandatory\": false,\n \"options\": {\n \"4\": \"Low\",\n \"5\": \"Medium\",\n \"6\": \"High\"\n }\n },\n \"disruptive_potential\": {\n \"id\": \"3\",\n \"title\": \"Disruptive Potential\",\n \"mandatory\": false,\n \"options\": {\n \"7\": \"Low\",\n \"8\": \"Medium\",\n \"9\": \"High\"\n }\n }\n },\n \"rating_permission\": [\n {\n \"roles\": {\n \"5\": \"Application Owner\",\n \"6\": \"Power User\"\n }\n }\n ]\n },\n \"5\": {\n \"title\": \"Selection\",\n \"ratings\": [],\n \"rating_permission\": [\n []\n ]\n },\n \"6\": {\n \"title\": \"Submission\",\n \"ratings\": [],\n \"rating_permission\": [\n []\n ]\n }\n },\n \"status\": {\n \"label\": \"Status\",\n \"type\": \"custom_status_field\",\n \"description\": \"Send 0 to draft or 1 to publish entity.\"\n },\n \"is_archived\": {\n \"label\": \"Archived\",\n \"type\": \"custom_archive_field\",\n \"description\": \"Send 1 to archive or 0 to remove archive from entity.\"\n },\n \"relations\": {\n \"itonics_trend\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_technology_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_technology_application\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_startup\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_company_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_voice_of_customer_voc_\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_inspiration_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_opportunityspace_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_idea_entity\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_campaign_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_innovation_project_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_miscellaneous\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_idea\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_roadmap_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n }\n }\n }\n}"}],"_postman_id":"09e06478-f0e7-45fa-bd6f-2214708b14d5"}],"id":"2276e5aa-9956-4b9d-859e-cc2ad8df3d1d","description":"

Both endpoints listed below provide the information on campaign entity type field properties, while /api/entity_field_properties.json?type=itonics_campaign_tr3&entity_id={id}, with entity_id being the id of one particular campaign, further provides submission field configuration of the specific campaign.

Alternatively, the same endpoint can also be queried using the entity_id={id} of an existing submission element of type itonics_idea to get the same information on field structure.

\n","urlObject":{"path":["api","entity_field_properties.json"],"host":["{base_url}"],"query":[{"key":"type","value":"itonics_idea"},{"key":"camp_id","value":"{campaign_id}"}],"variable":[]}},"response":[{"id":"0a633cf9-19bc-463e-a254-4bad844f8f65","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/entity_field_properties.json?type=itonics_idea&camp_id=21","host":["{base_url}"],"path":["api","entity_field_properties.json"],"query":[{"key":"type","value":"itonics_idea"},{"key":"camp_id","value":"21"}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Fri, 29 Aug 2025 07:43:14 GMT"},{"key":"Content-Type","value":"application/json","description":"","type":"text"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Connection","value":"keep-alive"},{"key":"Server","value":""},{"key":"Expires","value":"Sun, 19 Nov 1978 05:00:00 GMT"},{"key":"Cache-Control","value":"no-cache, no-store, must-revalidate"},{"key":"pragma","value":"no-cache"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"Content-Security-Policy","value":"default-src 'none'; base-uri 'self'; child-src 'self'; font-src 'self' http: https: data:; form-action 'self' http: https:; img-src * data: blob:; media-src 'self'; manifest-src 'self'; object-src 'none'; frame-src 'self' https://miro.com https://vimeo.com https://forms.office.com https://www.surveymonkey.com https://*.sharepoint.com https://sharepoint.com https://www.youtube.com https://www.youtube-nocookie.com; upgrade-insecure-requests; script-src 'self' 'strict-dynamic' 'nonce-6ZtOtKJS0HaPWpt1wROL7x4H' https: http:; connect-src 'self' maps.googleapis.com piwik.itonicsit.de; style-src * 'unsafe-inline'; worker-src 'self' blob:; sandbox allow-forms allow-scripts allow-same-origin allow-popups allow-downloads allow-modals allow-presentation allow-popups-to-escape-sandbox;"},{"key":"Referrer-Policy","value":"no-referrer, same-origin"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Permissions-Policy","value":"accelerometer=(), autoplay=(), camera=(), encrypted-media=(), fullscreen=(self), geolocation=(), microphone=(), midi=(), payment=(self), display-capture=()"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/entity_field_properties.json?type=itonics_idea&camp_id=21\",\n \"first\": \"{base_url}/api/entity_field_properties.json?type=itonics_idea&camp_id=21&page=0\",\n \"last\": \"{base_url}/api/entity_field_properties.json?type=itonics_idea&camp_id=21&page=9\",\n \"next\": \"{base_url}/api/entity_field_properties.json?type=itonics_idea&camp_id=21&page=1\",\n \"list\": {\n \"title_de\": {\n \"field_id\": \"119\",\n \"label\": \"Title\",\n \"type\": \"custom_textfield\",\n \"required\": false\n },\n \"itonics_idea_header_image\": {\n \"field_id\": \"120\",\n \"label\": \"Header Image\",\n \"type\": \"imagefield\",\n \"required\": false\n },\n \"abstract_de\": {\n \"field_id\": \"121\",\n \"label\": \"Abstract\",\n \"type\": \"custom_textarea\",\n \"required\": false\n },\n \"description_de\": {\n \"field_id\": \"122\",\n \"label\": \"Description\",\n \"type\": \"custom_rte\",\n \"required\": false\n },\n \"itoncis_idea_tags\": {\n \"field_id\": \"123\",\n \"label\": \"Tags\",\n \"type\": \"social_tags\",\n \"required\": false\n },\n \"entity_authors\": {\n \"field_id\": \"124\",\n \"label\": \"Authors\",\n \"type\": \"custom_autosuggest\",\n \"required\": false\n },\n \"phases\": {\n \"2\": {\n \"title\": \"Review\",\n \"ratings\": [],\n \"rating_permission\": [\n []\n ]\n },\n \"3\": {\n \"title\": \"Evaluate\",\n \"ratings\": {\n \"idea_fit\": {\n \"id\": \"1\",\n \"title\": \"Idea Fit\",\n \"mandatory\": false,\n \"options\": {\n \"1\": \"Low\",\n \"2\": \"Medium\",\n \"3\": \"High\"\n }\n },\n \"complexity\": {\n \"id\": \"2\",\n \"title\": \"Complexity\",\n \"mandatory\": false,\n \"options\": {\n \"4\": \"Low\",\n \"5\": \"Medium\",\n \"6\": \"High\"\n }\n },\n \"disruptive_potential\": {\n \"id\": \"3\",\n \"title\": \"Disruptive Potential\",\n \"mandatory\": false,\n \"options\": {\n \"7\": \"Low\",\n \"8\": \"Medium\",\n \"9\": \"High\"\n }\n }\n },\n \"rating_permission\": [\n {\n \"roles\": {\n \"5\": \"Application Owner\",\n \"6\": \"Power User\"\n }\n }\n ]\n },\n \"5\": {\n \"title\": \"Selection\",\n \"ratings\": [],\n \"rating_permission\": [\n []\n ]\n },\n \"6\": {\n \"title\": \"Submission\",\n \"ratings\": [],\n \"rating_permission\": [\n []\n ]\n }\n },\n \"status\": {\n \"label\": \"Status\",\n \"type\": \"custom_status_field\",\n \"description\": \"Send 0 to draft or 1 to publish entity.\"\n },\n \"is_archived\": {\n \"label\": \"Archived\",\n \"type\": \"custom_archive_field\",\n \"description\": \"Send 1 to archive or 0 to remove archive from entity.\"\n },\n \"relations\": {\n \"itonics_trend\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_technology_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_technology_application\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_startup\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_company_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_voice_of_customer_voc_\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_inspiration_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_opportunityspace_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_idea_entity\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_campaign_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_innovation_project_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_miscellaneous\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_idea\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_roadmap_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n }\n }\n }\n}"}],"_postman_id":"f51536e7-1293-4724-847f-39655303e821"},{"name":"Submission field properties (of one submission_id)","id":"a7945a7d-50eb-4d71-bd90-267d4b6551f7","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/entity_field_properties.json?type=itonics_idea&entity_id={submission_id}","description":"

Returns all attributes and their machine names, and custom submission fields for the type itonics_idea of one particular campaign element matching the URI camp_id={id}. This endpoint must be queried before sending a POST request to create a new submission element for a campaign to understand the field structure.

\n","urlObject":{"path":["api","entity_field_properties.json"],"host":["{base_url}"],"query":[{"key":"type","value":"itonics_idea"},{"key":"entity_id","value":"{submission_id}"}],"variable":[]}},"response":[{"id":"28005434-f489-40e5-9f46-1b1b43fa6688","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/entity_field_properties.json?type=itonics_idea&entity_id=61","host":["{base_url}"],"path":["api","entity_field_properties.json"],"query":[{"key":"type","value":"itonics_idea"},{"key":"entity_id","value":"61"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/entity_field_properties.json?type=itonics_idea&entity_id=61\",\n \"first\": \"{base_url}/api/entity_field_properties.json?type=itonics_idea&entity_id=61&page=0\",\n \"last\": \"{base_url}/api/entity_field_properties.json?type=itonics_idea&entity_id=61&page=9\",\n \"next\": \"{base_url}/api/entity_field_properties.json?type=itonics_idea&entity_id=61&page=1\",\n \"list\": {\n \"title_de\": {\n \"field_id\": \"119\",\n \"label\": \"Title\",\n \"type\": \"custom_textfield\",\n \"required\": false\n },\n \"itonics_idea_header_image\": {\n \"field_id\": \"120\",\n \"label\": \"Header Image\",\n \"type\": \"imagefield\",\n \"required\": false\n },\n \"abstract_de\": {\n \"field_id\": \"121\",\n \"label\": \"Abstract\",\n \"type\": \"custom_textarea\",\n \"required\": false\n },\n \"description_de\": {\n \"field_id\": \"122\",\n \"label\": \"Description\",\n \"type\": \"custom_rte\",\n \"required\": false\n },\n \"itoncis_idea_tags\": {\n \"field_id\": \"123\",\n \"label\": \"Tags\",\n \"type\": \"social_tags\",\n \"required\": false\n },\n \"entity_authors\": {\n \"field_id\": \"124\",\n \"label\": \"Authors\",\n \"type\": \"custom_autosuggest\",\n \"required\": false\n },\n \"phases\": {\n \"2\": {\n \"title\": \"Review\",\n \"ratings\": [],\n \"rating_permission\": [\n []\n ]\n },\n \"3\": {\n \"title\": \"Evaluate\",\n \"ratings\": {\n \"idea_fit\": {\n \"id\": \"1\",\n \"title\": \"Idea Fit\",\n \"mandatory\": false,\n \"options\": {\n \"1\": \"Low\",\n \"2\": \"Medium\",\n \"3\": \"High\"\n }\n },\n \"complexity\": {\n \"id\": \"2\",\n \"title\": \"Complexity\",\n \"mandatory\": false,\n \"options\": {\n \"4\": \"Low\",\n \"5\": \"Medium\",\n \"6\": \"High\"\n }\n },\n \"disruptive_potential\": {\n \"id\": \"3\",\n \"title\": \"Disruptive Potential\",\n \"mandatory\": false,\n \"options\": {\n \"7\": \"Low\",\n \"8\": \"Medium\",\n \"9\": \"High\"\n }\n }\n },\n \"rating_permission\": [\n {\n \"roles\": {\n \"5\": \"Application Owner\",\n \"6\": \"Power User\"\n }\n }\n ]\n },\n \"5\": {\n \"title\": \"Selection\",\n \"ratings\": [],\n \"rating_permission\": [\n []\n ]\n },\n \"6\": {\n \"title\": \"Submission\",\n \"ratings\": [],\n \"rating_permission\": [\n []\n ]\n }\n },\n \"status\": {\n \"label\": \"Status\",\n \"type\": \"custom_status_field\",\n \"description\": \"Send 0 to draft or 1 to publish entity.\"\n },\n \"is_archived\": {\n \"label\": \"Archived\",\n \"type\": \"custom_archive_field\",\n \"description\": \"Send 1 to archive or 0 to remove archive from entity.\"\n },\n \"relations\": {\n \"itonics_trend\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_technology_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_technology_application\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_startup\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_company_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_voice_of_customer_voc_\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_inspiration_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_opportunityspace_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_idea_entity\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_campaign_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_innovation_project_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"type_miscellaneous\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_idea\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n },\n \"itonics_roadmap_tr3\": {\n \"type\": \"numeric\",\n \"description\": \"Send array of numeric ids to add multiple relation.\"\n }\n }\n }\n}"}],"_postman_id":"a7945a7d-50eb-4d71-bd90-267d4b6551f7"}],"id":"dd178f52-76cf-44c6-9675-c138237b0d46","description":"

Both endpoints listed below provide the same information on the specific submission field properties,

just once using type=itonics_idea&camp_id={id} with camp_id being the id of the associated campaign element,
\n
and once using type=itonics_idea&entity_id{id} with entity_id being the submission element id value.
\n

Returns all attributes and their machine names, incl. mandatory options, validations, and selection options for the milestone configuration of the specified entity_type.

Further, this endpoint is restricted to entity types with the Roadmap module enabled. It provides global milestone type information via the utility_data property and lists all entities that currently have the Roadmap module activated.

\n","urlObject":{"path":["api","entity_field_properties.json"],"host":["{base_url}"],"query":[{"key":"type","value":"{entity_type}"},{"key":"config","value":"milestone"}],"variable":[]}},"response":[{"id":"9171f436-723f-4ecd-bf36-8ad93b26cd5b","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/entity_field_properties.json?type=itonics_innovation_project_tr3&config=milestone","host":["{base_url}"],"path":["api","entity_field_properties.json"],"query":[{"key":"type","value":"itonics_innovation_project_tr3"},{"key":"config","value":"milestone"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/entity_field_properties.json?type=itonics_innovation_project_tr3&config=milestone\",\n \"first\": \"{base_url}/api/entity_field_properties.json?type=itonics_innovation_project_tr3&config=milestone&page=0\",\n \"last\": \"{base_url}/api/entity_field_properties.json?type=itonics_innovation_project_tr3&config=milestone&page=9\",\n \"next\": \"{base_url}/api/entity_field_properties.json?type=itonics_innovation_project_tr3&config=milestone&page=1\",\n \"list\": {\n \"milestone_title\": {\n \"label\": \"Milestone Title\",\n \"type\": \"custom_textfield\",\n \"required\": true\n },\n \"milestone_type\": {\n \"label\": \"Milestone Type\",\n \"type\": \"searchable_field\",\n \"required\": true,\n \"is_multiple\": false,\n \"options\": {\n \"1\": \"Non Disclosure Agreement\",\n \"2\": \"Board Presentation\",\n \"3\": \"First Prototype Launched\",\n \"7\": \"Feasibility Study Successful\"\n }\n },\n \"milestone_date\": {\n \"label\": \"Milestone Date\",\n \"type\": \"custom_datefield\",\n \"required\": true\n },\n \"milestone_description\": {\n \"label\": \"Description\",\n \"type\": \"custom_textarea\",\n \"required\": false\n },\n \"utility_data\": {\n \"entity_types\": [\n {\n \"key\": \"itonics_trend\",\n \"label\": \"Trend\"\n },\n {\n \"key\": \"itonics_technology_tr3\",\n \"label\": \"Technology\"\n },\n {\n \"key\": \"type_technology_application\",\n \"label\": \"Technology Application\"\n },\n {\n \"key\": \"type_startup\",\n \"label\": \"Startup\"\n },\n {\n \"key\": \"itonics_company_tr3\",\n \"label\": \"Company\"\n },\n {\n \"key\": \"itonics_opportunityspace_tr3\",\n \"label\": \"Strategic Focus Field\"\n },\n {\n \"key\": \"type_idea_entity\",\n \"label\": \"Idea\"\n },\n {\n \"key\": \"itonics_innovation_project_tr3\",\n \"label\": \"Innovation Project\"\n }\n ],\n \"milestone_types\": [\n {\n \"id\": \"1\",\n \"label\": \"Non Disclosure Agreement\"\n },\n {\n \"id\": \"2\",\n \"label\": \"Board Presentation\"\n },\n {\n \"id\": \"3\",\n \"label\": \"First Prototype Launched\"\n },\n {\n \"id\": \"4\",\n \"label\": \"Contract signed\"\n },\n {\n \"id\": \"5\",\n \"label\": \"NDA signed\"\n },\n {\n \"id\": \"6\",\n \"label\": \"Project Started\"\n },\n {\n \"id\": \"7\",\n \"label\": \"Feasibility Study Successful\"\n },\n {\n \"id\": \"8\",\n \"label\": \"Pilot Implementation and Testing\"\n },\n {\n \"id\": \"9\",\n \"label\": \"First contact with service provider\"\n },\n {\n \"id\": \"10\",\n \"label\": \"Release revolutionary technology application\"\n }\n ],\n \"connection_types\": [\n {\n \"id\": \"1\",\n \"label\": \"Adjacent\"\n },\n {\n \"id\": \"2\",\n \"label\": \"Critical\"\n }\n ]\n }\n }\n}"}],"_postman_id":"6336e1cd-3062-4c82-8ac7-518cd49ccab7"}],"id":"890315f2-1e72-4075-acad-a9ce5b35e381","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"event":[{"listen":"prerequest","script":{"id":"12337a5a-a73e-41da-93c2-ef38b2368650","type":"text/javascript","packages":{},"requests":{},"exec":[""]}},{"listen":"test","script":{"id":"a44cd568-b818-49f6-a935-7295dd1dd067","type":"text/javascript","packages":{},"requests":{},"exec":[""]}}],"_postman_id":"890315f2-1e72-4075-acad-a9ce5b35e381","description":""},{"name":"Table structure field properties","item":[{"name":"Table structure field properties","id":"fee39bf7-0885-4017-bac9-6d261aeb5d5b","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{ \r\n \"title\": \"string\",\r\n \"abstract\": \"string\",\r\n \"description\": \"string\",\r\n \"field_segment_hierarchy\": {\r\n \"field_segment_hierarchy_entity_segment\": [\"option_id\"],\r\n \"field_segment_hierarchy_entity_sub_segment\": [\"option_id\", \"option_id\"]\r\n },\r\n \"field_list_dropdown\": [\"option_id\"],\r\n \"field_list_dropdown_multiselect\": [\"option_id\", \"option_id\"],\r\n \"field_radio_button\": [\"option_id\"],\r\n \"field_single_checkbox\": 1,\r\n \"field_pearl_chain\": [\"option_id\"],\r\n \"field_single_line_input_text\": \"string\",\r\n \"field_single_line_input_email\": \"string\",\r\n \"field_single_line_input_url\": \"string\",\r\n \"field_single_line_input_number\": \"string\",\r\n \"field_date\": \"MM/DD/YYYY\",\r\n \"field_tags\": \"string, string\",\r\n \"field_user_search\": \"username\",\r\n \"field_user_group_search\": {\r\n \"group\": [\"option_id\", \"option_id\"],\r\n \"context\": [\"option_id\", \"option_id\"]\r\n },\r\n \"field_element_search\": {\r\n \"entity_type\": [1, 2]\r\n },\r\n \"field_file_upload\": \"base64_encoded_file\",\r\n \"relations\": {\r\n \"entity_type\": [10, 12]\r\n }\r\n}"},"url":"{base_url}/api/entity_field_properties.json?type={entity_type}&config=table_data","urlObject":{"path":["api","entity_field_properties.json"],"host":["{base_url}"],"query":[{"key":"type","value":"{entity_type}"},{"key":"config","value":"table_data"}],"variable":[]}},"response":[{"id":"57e1d0d2-f85f-4e6b-ab91-be1a3fe0cd46","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF_Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/entity_field_properties.json?type=itonics_technology_tr3&config=table_data","host":["{base_url}"],"path":["api","entity_field_properties.json"],"query":[{"key":"type","value":"itonics_technology_tr3"},{"key":"config","value":"table_data"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/entity_field_properties.json?type=itonics_technology_tr3&config=table_data\",\n \"first\": \"{base_url}/api/entity_field_properties.json?type=itonics_technology_tr3&config=table_data&page=0\",\n \"last\": \"{base_url}/api/entity_field_properties.json?type=itonics_technology_tr3&config=table_data&page=0\",\n \"list\":[\n {\n \"label\": \"Risk assessment\",\n \"tooltip\": \"\",\n \"table_row_name\": \"Risks\",\n \"table_machine_name\": \"table_risk_assessment\",\n \"row_aggregation\":{\n \"is_enabled\": true,\n \"label\": \"Risk Score\"\n },\n \"column_aggregation\":{\n \"is_enabled\": true,\n \"label\": \"Totals\"\n },\n \"table_type\": \"Dynamic\",\n \"table_information\":{\n \"rows\":[\n {\n \"budgetary\": \"Budgetary\",\n \"required\": true,\n \"is_numeric\": false,\n \"option_key\": \"budgetary\"\n },\n {\n \"technologocial\": \"Technological\",\n \"required\": true,\n \"is_numeric\": false,\n \"option_key\": \"technologocial\"\n },\n {\n \"environmental\": \"Environmental\",\n \"required\": true,\n \"is_numeric\": false,\n \"option_key\": \"environmental\"\n }\n ],\n \"column\": [\n {\n \"label\":\"Ability to Cope\",\n \"option_key\": \"ability_to_cope\",\n \"tooltip\": \"\",\n \"help_text\": \"\",\n \"required\": true,\n \"field_type\": \"Dropdown\",\n \"is_dynamic_overview\": false,\n \"options\": [\n {\n \"low\": \"Low\"\n },\n {\n \"medium\": \"Medium\"\n },\n {\n \"high\": \"High\"\n }\n ]\n },\n {\n \"label\":\"Occurence Score\",\n \"option_key\": \"occurrence_score\",\n \"tooltip\": \"\",\n \"help_text\": \"\",\n \"required\": false,\n \"field_type\": \"Text\",\n \"is_numeric\": true\n },\n {\n \"label\":\"Impact Score\",\n \"option_key\": \"impact_score\",\n \"tooltip\": \"\",\n \"help_text\": \"\",\n \"required\": false,\n \"field_type\": \"Text\",\n \"is_numeric\": true\n }\n ],\n \"is_kpi_enabled\": true,\n \"is_column_button_enabled\": true,\n \"row_field_type\": \"Dropdown\"\n }\n }\n ]\n}"}],"_postman_id":"fee39bf7-0885-4017-bac9-6d261aeb5d5b"}],"id":"df5c4b94-7798-4acf-8cb9-8a1e4856b596","description":"

Returns all attributes and their machine names, incl. mandatory options, validations, and selection options for the table configuration of the specified {entity_type}.

\n","_postman_id":"df5c4b94-7798-4acf-8cb9-8a1e4856b596","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":true,"source":{"_postman_id":"54f6480a-2607-47fd-811d-6bb8087ce2b3","id":"54f6480a-2607-47fd-811d-6bb8087ce2b3","name":"Meta data - Field configurations","type":"folder"}}}],"id":"54f6480a-2607-47fd-811d-6bb8087ce2b3","description":"

The following section lists all endpoints available for reading (retrieving) field configuration from your ITONICS application via GET requests.

Returns all available element timeline information for the specified {entity_type}. Likely requires setting limits, i.e. pagination, for large data sets.

\n","urlObject":{"path":["api","timeline.json"],"host":["{base_url}"],"query":[{"key":"limit","value":"2"},{"key":"page","value":"0"},{"key":"entity_type","value":"{entity_type}"}],"variable":[]}},"response":[{"id":"fab07765-0272-48e0-9f69-f9c2a976d581","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/timeline.json?limit=2&entity_type=itonics_trend&page=0","host":["{base_url}"],"path":["api","timeline.json"],"query":[{"key":"limit","value":"2"},{"key":"entity_type","value":"itonics_trend"},{"key":"page","value":"0"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/timeline.json?limit=2&page=0&entity_type=itonics_trend\",\n \"first\": \"{base_url}/api/timeline.json?limit=2&page=0&entity_type=itonics_trend\",\n \"last\": \"{base_url}/api/timeline.json?limit=2&page=21&entity_type=itonics_trend\",\n \"next\": \"{base_url}/api/timeline.json?limit=2&page=1&entity_type=itonics_trend\",\n \"list\": [\n { \n \"id\": 18,\n \"title\": \"Data Sustainability\",\n \"timeline\": {\n \"2025-10-29\": [\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"15:23:45\",\n \"action\": \"liked\"\n },\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"15:25:00\",\n \"action\": \"unliked\"\n }\n ],\n \"2025-10-24\": [\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"17:12:46\",\n \"action\": \"entity_update\",\n \"field_label\": \"Entity Relation\",\n \"new_value\": {\n \"field_label\": \"Entity Relation\",\n \"field_value\": {\n \"itonics_opportunityspace_tr3\": [\n {\n \"field_value\": {\n \"id\": \"29\",\n \"title\": \"Seamless, Sustainable Rail Mobility\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"3\",\n \"title\": \"Energy Efficient Development\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"9\",\n \"title\": \"Applied Artificial Intelligence\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"6\",\n \"title\": \"Digital Transformation\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"12\",\n \"title\": \"Sustainable Mobility/Transport\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n }\n ]\n }\n },\n \"old_value\": {\n \"field_label\": \"Entity Relation\",\n \"field_value\": {\n \"itonics_opportunityspace_tr3\": [\n {\n \"field_value\": {\n \"id\": \"3\",\n \"title\": \"Energy Efficient Development\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"6\",\n \"title\": \"Digital Transformation\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"9\",\n \"title\": \"Applied Artificial Intelligence\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"12\",\n \"title\": \"Sustainable Mobility/Transport\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n }\n ]\n }\n }\n }\n ]\n }\n },\n {\n \"id\": 10,\n \"title\": \"Mobility Ecosystems\",\n \"timeline\": {\n \"2025-10-21\": [],\n \"2025-07-29\": [\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"10:12:00\",\n \"action\": \"rating\",\n \"field_label\": \"Recommended Action\",\n \"new_value\": \"Explore\",\n \"old_value\": \"\"\n },\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"10:12:00\",\n \"action\": \"rating\",\n \"field_label\": \"Business Relevance\",\n \"new_value\": \"High\",\n \"old_value\": \"\"\n },\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"10:12:00\",\n \"action\": \"rating\",\n \"field_label\": \"Time of Relevancy\",\n \"new_value\": \"6-10 years\",\n \"old_value\": \"\"\n },\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"10:12:00\",\n \"action\": \"rating\",\n \"field_label\": \"Market Potential\",\n \"new_value\": \"High\",\n \"old_value\": \"\"\n }\n ],\n \"2025-06-04\": [\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"12:01:00\",\n \"action\": \"entity_update\",\n \"field_label\": \"Entity Relation\",\n \"new_value\": {\n \"field_label\": \"Entity Relation\",\n \"field_value\": {\n \"itonics_innovation_project_tr3\": [\n {\n \"field_value\": {\n \"id\": \"63\",\n \"title\": \"AI-Powered Voyage Emissions Optimizer\",\n \"entity type\": \"itonics_innovation_project_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"12\",\n \"title\": \"Insurance Packaging: Corporate Carpooling Programs\",\n \"entity type\": \"itonics_innovation_project_tr3\"\n }\n }\n ]\n }\n },\n \"old_value\": {\n \"field_label\": \"Entity Relation\",\n \"field_value\": {\n \"itonics_innovation_project_tr3\": [\n {\n \"field_value\": {\n \"id\": \"12\",\n \"title\": \"Insurance Packaging: Corporate Carpooling Programs\",\n \"entity type\": \"itonics_innovation_project_tr3\"\n }\n }\n ]\n }\n }\n }\n ],\n \"2025-05-23\": [\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"16:00:56\",\n \"action\": \"comment\",\n \"new_value\": \"string\"\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"16:00:56\",\n \"action\": \"comment\",\n \"new_value\": \"string\"\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"16:02:12\",\n \"action\": \"like\"\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"16:02:12\",\n \"action\": \"follow\"\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"16:05:00\",\n \"action\": \"rating\",\n \"field_label\": \"Recommended Action\",\n \"new_value\": \"Explore\",\n \"old_value\": \"\"\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"16:05:00\",\n \"action\": \"rating\",\n \"field_label\": \"Business Relevance\",\n \"new_value\": \"Medium\",\n \"old_value\": \"\"\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"16:05:00\",\n \"action\": \"rating\",\n \"field_label\": \"Time of Relevancy\",\n \"new_value\": \"6-10 years\",\n \"old_value\": \"\"\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"16:05:00\",\n \"action\": \"rating\",\n \"field_label\": \"Disruptive Potential\",\n \"new_value\": \"High\",\n \"old_value\": \"\"\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"16:05:00\",\n \"action\": \"rating\",\n \"field_label\": \"Market Potential\",\n \"new_value\": \"Medium\",\n \"old_value\": \"\"\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"16:05:00\",\n \"action\": \"rating\",\n \"field_label\": \"Internal Know-How\",\n \"new_value\": \"Medium\",\n \"old_value\": \"\"\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"action\": \"rating\",\n \"field_label\": \"Strategic Fit\",\n \"new_value\": \"Medium\",\n \"old_value\": \"\"\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"16:06:12\",\n \"action\": \"entity_update\",\n \"field_label\": \"Entity Relation\",\n \"new_value\": {\n \"field_label\": \"Entity Relation\",\n \"field_value\": {\n \"itonics_trend\": [\n {\n \"field_value\": {\n \"id\": \"66\",\n \"title\": \"Data Sustainability\",\n \"entity type\": \"itonics_trend\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"5\",\n \"title\": \"Smart Cities\",\n \"entity type\": \"itonics_trend\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"16\",\n \"title\": \"Electromobility\",\n \"entity type\": \"itonics_trend\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"18\",\n \"title\": \"Data Sustainability\",\n \"entity type\": \"itonics_trend\"\n }\n }\n ]\n }\n },\n \"old_value\": {\n \"field_label\": \"Entity Relation\",\n \"field_value\": {\n \"itonics_trend\": [\n {\n \"field_value\": {\n \"id\": \"5\",\n \"title\": \"Smart Cities\",\n \"entity type\": \"itonics_trend\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"16\",\n \"title\": \"Electromobility\",\n \"entity type\": \"itonics_trend\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"18\",\n \"title\": \"Data Sustainability\",\n \"entity type\": \"itonics_trend\"\n }\n }\n ]\n }\n }\n }\n ]\n }\n }\n ]\n} "}],"_postman_id":"ce0159cd-d365-4d27-8e58-4b516e6c7cf0"},{"name":"Single element","id":"920e9007-26fe-44e3-b0a3-2feefcdaceda","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/timeline.json?entity_type={entity_type}&entity_id={element_id}","description":"

Returns all timeline information for a single element of type {entity_type} matching the specified {entity_id}.

\n","urlObject":{"path":["api","timeline.json"],"host":["{base_url}"],"query":[{"key":"entity_type","value":"{entity_type}"},{"key":"entity_id","value":"{element_id}"}],"variable":[]}},"response":[{"id":"61997470-ec7e-43c2-afc6-6da058ead4c0","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/timeline.json?entity_type=itonics_trend&entity_id=18","host":["{base_url}"],"path":["api","timeline.json"],"query":[{"key":"entity_type","value":"itonics_trend"},{"key":"entity_id","value":"18"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/timeline.json?entity_type=itonics_trend&entity_id=18\",\n \"first\": \"{base_url}/api/timeline.json?entity_type=itonics_trend&entity_id=18&page=0\",\n \"last\": \"{base_url}/api/timeline.json?entity_type=itonics_trend&entity_id=18&page=0\",\n \"list\": [\n { \n \"id\": 18,\n \"title\": \"Data Sustainability\",\n \"timeline\": {\n \"2025-10-29\": [\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"16:06:12\",\n \"action\": \"liked\"\n },\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"16:06:25\",\n \"action\": \"unliked\"\n }\n ],\n \"2025-10-24\": [\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"12:00:55\",\n \"action\": \"entity_update\",\n \"field_label\": \"Entity Relation\",\n \"new_value\": {\n \"field_label\": \"Entity Relation\",\n \"field_value\": {\n \"itonics_opportunityspace_tr3\": [\n {\n \"field_value\": {\n \"id\": \"29\",\n \"title\": \"Seamless, Sustainable Rail Mobility\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"3\",\n \"title\": \"Energy Efficient Development\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"9\",\n \"title\": \"Applied Artificial Intelligence\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"6\",\n \"title\": \"Digital Transformation\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"12\",\n \"title\": \"Sustainable Mobility/Transport\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n }\n ]\n }\n },\n \"old_value\": {\n \"field_label\": \"Entity Relation\",\n \"field_value\": {\n \"itonics_opportunityspace_tr3\": [\n {\n \"field_value\": {\n \"id\": \"3\",\n \"title\": \"Energy Efficient Development\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"6\",\n \"title\": \"Digital Transformation\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"9\",\n \"title\": \"Applied Artificial Intelligence\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"12\",\n \"title\": \"Sustainable Mobility/Transport\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n }\n ]\n }\n }\n }\n ]\n }\n }\n ]\n}"}],"_postman_id":"920e9007-26fe-44e3-b0a3-2feefcdaceda"}],"id":"7a82628b-3766-416a-80f0-9924c0928284","description":"

Retrieving timeline data of elements of a particular {entity_type}.

Returns all available element timeline information for the type itonics_campaign_tr3. Likely requires setting limits, i.e. pagination, for large data sets.

Returns all timeline information for a single element of type itonics_campaign_tr3 matching the specified {entity_id}.

\n","urlObject":{"path":["api","timeline.json"],"host":["{base_url}"],"query":[{"key":"entity_type","value":"itonics_campaign_tr3"},{"key":"entity_id","value":"{campaign_id}"}],"variable":[]}},"response":[{"id":"11f96052-6297-409c-ab7b-8b60badccced","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/timeline.json?entity_type=itonics_campaign_tr3&entity_id=49","host":["{base_url}"],"path":["api","timeline.json"],"query":[{"key":"entity_type","value":"itonics_campaign_tr3"},{"key":"entity_id","value":"49"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/timeline.json?entity_type=itonics_campaign_tr3&entity_id=49\",\n \"first\": \"{base_url}/api/timeline.json?entity_type=itonics_campaign_tr3&entity_id=49&page=0\",\n \"last\": \"{base_url}/api/timeline.json?entity_type=itonics_campaign_tr3&entity_id=49&page=0\",\n \"list\": [\n {\n \"id\": 49,\n \"title\": \"Climate Headaches in 2024\",\n \"timeline\": {\n \"2025-09-10\": [\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"16:15:20\",\n \"action\": \"entity_update\",\n \"field_label\": \"End Date\",\n \"new_value\": {\n \"field_label\": \"End Date\",\n \"field_value\": \"2025-10-31\"\n },\n \"old_value\": {\n \"field_label\": \"End Date\",\n \"field_value\": \"2025-05-31\"\n }\n }\n ],\n \"2025-02-04\": [\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"09:15:20\",\n \"action\": \"entity_update\",\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"new_value\": {\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"field_value\": \"{\\\"16\\\":1}\"\n },\n \"old_value\": {\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"field_value\": \"{\\\"16\\\":0}\"\n }\n },\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"09:16:50\",\n \"action\": \"entity_update\",\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"new_value\": {\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"field_value\": \"{\\\"16\\\":1}\"\n },\n \"old_value\": {\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"field_value\": \"{\\\"16\\\":0}\"\n }\n }\n ],\n \"2024-12-12\": [\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"10:16:40\",\n \"action\": \"unfollowed\"\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"10:16:45\",\n \"action\": \"like\"\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"10:16:50\",\n \"action\": \"follow\"\n }\n ],\n \"2024-12-09\": [\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"11:11:30\",\n \"action\": \"entity_update\",\n \"field_label\": \"Phase-wise Permissions\",\n \"new_added_permissions\": {\n \"field_label\": \"Phase-wise Permissions\",\n \"field_value\": []\n },\n \"old_removed_permissions\": {\n \"field_label\": \"Phase-wise Permissions\",\n \"field_value\": [\n \"17_createidea_99999\"\n ]\n }\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"11:12:00\",\n \"action\": \"entity_update\",\n \"field_label\": \"Phase-wise Permissions\",\n \"new_added_permissions\": {\n \"field_label\": \"Phase-wise Permissions\",\n \"field_value\": [\n \"17_createidea_99999\"\n ]\n },\n \"old_removed_permissions\": {\n \"field_label\": \"Phase-wise Permissions\",\n \"field_value\": []\n }\n }\n ],\n \"2024-11-08\": [\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"12:50:20\",\n \"action\": \"entity_update\",\n \"field_label\": null,\n \"new_value\": [\n {\n \"field_label\": \"Campaign Managers\",\n \"field_value\": \"\"\n },\n {\n \"field_label\": \"Campaign Managers\",\n \"field_value\": \"jane.innovation\"\n }\n ],\n \"old_value\": [\n {\n \"field_label\": \"Campaign Managers\",\n \"field_value\": \"\"\n }\n ]\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"12:53:30\",\n \"action\": \"entity_update\",\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"new_value\": {\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"field_value\": \"{\\\"16\\\":1}\"\n },\n \"old_value\": {\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"field_value\": \"{\\\"16\\\":0}\"\n }\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"12:54:00\",\n \"action\": \"entity_update\",\n \"field_label\": \"Description\",\n \"new_value\": {\n \"field_label\": \"Description\",\n \"field_value\": \"

We are one of Europe's largest suppliers of renewable energy. In all our operations we rely on our supply chain, both to carry out work on behalf of us or supply us with equipment and materials. Today, most of our market segments, both geographical and industry segments, can deliver high-quality CO2-data (verified EPDs).

\"\n },\n \"old_value\": {\n \"field_label\": \"Description\",\n \"field_value\": \"

\"\n }\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"13:00:20\",\n \"action\": \"entity_update\",\n \"field_label\": \"Description\",\n \"new_value\": {\n \"field_label\": \"Description\",\n \"field_value\": \"

\"\n },\n \"old_value\": {\n \"field_label\": \"Description\",\n \"field_value\": \"

However, we struggle in processing and harmonizing the massive amount of data provided in various formats in a way where it can be aggregated to our figures without having to make massive changes in our existing IT infrastructure or adding new, additional tools.

\"\n }\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"13:10:10\",\n \"action\": \"entity_update\",\n \"field_label\": \"Problem Statement\",\n \"new_value\": {\n \"field_label\": \"Problem Statement\",\n \"field_value\": \"

We struggle in processing and harmonizing the massive amount of data provided in various formats in a way where it can be aggregated to our figures without having to make massive changes in our existing IT infrastructure or adding new, additional tools.

\"\n },\n \"old_value\": {\n \"field_label\": \"Problem Statement\",\n \"field_value\": \"\"\n }\n }\n ],\n \"2024-11-07\": [\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"13:12:10\",\n \"action\": \"entity_update\",\n \"field_label\": null,\n \"new_value\": [\n {\n \"field_label\": \"Campaign Managers\",\n \"field_value\": \"\"\n }\n ],\n \"old_value\": []\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"13:20:10\",\n \"action\": \"entity_update\",\n \"field_label\": \"Inherit submission-level permissions for campaign managers?\",\n \"new_value\": {\n \"field_label\": \"Inherit submission-level permissions for campaign managers?\",\n \"field_value\": \"1\"\n },\n \"old_value\": {\n \"field_label\": \"Inherit submission-level permissions for campaign managers?\",\n \"field_value\": \"0\"\n }\n }\n ],\n \"2024-11-06\": [\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"13:25:25\",\n \"action\": \"entity_update\",\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"new_value\": {\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"field_value\": \"{\\\"16\\\":1}\"\n },\n \"old_value\": {\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"field_value\": \"{\\\"16\\\":0}\"\n }\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"13:26:40\",\n \"action\": \"entity_update\",\n \"field_label\": \"Field Configuration\",\n \"new_value\": {\n \"field_label\": \"Field Configuration\",\n \"field_value\": \"{\\\"title_de\\\":{\\\"en\\\":\\\"Title\\\"},\\\"itonics_idea_header_image\\\":{\\\"en\\\":\\\"Header Image\\\"},\\\"abstract_de\\\":{\\\"en\\\":\\\"Abstract\\\"},\\\"evaluators_16\\\":{\\\"en\\\":\\\"Evaluators Preparation\\\"},\\\"description_de\\\":{\\\"en\\\":\\\"Description\\\"},\\\"itoncis_idea_tags\\\":{\\\"en\\\":\\\"Tags\\\"},\\\"entity_authors\\\":{\\\"en\\\":\\\"Authors\\\"},\\\"20\\\":{\\\"en\\\":\\\"Categorization\\\"},\\\"21\\\":[],\\\"22\\\":{\\\"en\\\":\\\"Whiteboard\\\"}}\"\n },\n \"old_value\": {\n \"field_label\": \"Field Configuration\",\n \"field_value\": \"{\\\"title_de\\\":{\\\"en\\\":\\\"Title\\\"},\\\"itonics_idea_header_image\\\":{\\\"en\\\":\\\"Header Image\\\"},\\\"abstract_de\\\":{\\\"en\\\":\\\"Abstract\\\"},\\\"evaluators_16\\\":{\\\"en\\\":\\\"Evaluators Preparation\\\"},\\\"description_de\\\":{\\\"en\\\":\\\"Description\\\"},\\\"itoncis_idea_tags\\\":{\\\"en\\\":\\\"Tags\\\"},\\\"entity_authors\\\":{\\\"en\\\":\\\"Authors\\\"},\\\"20\\\":{\\\"en\\\":\\\"Categorization\\\"},\\\"21\\\":{\\\"en\\\":\\\"Whiteboard\\\"}}\"\n }\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"13:50:10\",\n \"action\": \"entity_update\",\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"new_value\": {\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"field_value\": \"{\\\"16\\\":1}\"\n },\n \"old_value\": {\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"field_value\": \"{\\\"16\\\":0}\"\n }\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"13:51:00\",\n \"action\": \"entity_update\",\n \"field_label\": \"Field Configuration\",\n \"new_value\": {\n \"field_label\": \"Field Configuration\",\n \"field_value\": \"{\\\"title_de\\\":{\\\"en\\\":\\\"Title\\\"},\\\"itonics_idea_header_image\\\":{\\\"en\\\":\\\"Header Image\\\"},\\\"abstract_de\\\":{\\\"en\\\":\\\"Abstract\\\"},\\\"evaluators_16\\\":{\\\"en\\\":\\\"Evaluators Preparation\\\"},\\\"description_de\\\":{\\\"en\\\":\\\"Description\\\"},\\\"itoncis_idea_tags\\\":{\\\"en\\\":\\\"Tags\\\"},\\\"entity_authors\\\":{\\\"en\\\":\\\"Authors\\\"},\\\"1\\\":{\\\"en\\\":\\\"Categorization\\\"},\\\"2\\\":{\\\"en\\\":\\\"Whiteboard\\\"}}\"\n },\n \"old_value\": {\n \"field_label\": \"Field Configuration\",\n \"field_value\": \"{\\\"title_de\\\":{\\\"en\\\":\\\"Title\\\"},\\\"itonics_idea_header_image\\\":{\\\"en\\\":\\\"Header Image\\\"},\\\"abstract_de\\\":{\\\"en\\\":\\\"Abstract\\\"},\\\"evaluators_16\\\":{\\\"en\\\":\\\"Evaluators Preparation\\\"},\\\"description_de\\\":{\\\"en\\\":\\\"Description\\\"},\\\"itoncis_idea_tags\\\":{\\\"en\\\":\\\"Tags\\\"},\\\"entity_authors\\\":{\\\"en\\\":\\\"Authors\\\"}}\"\n }\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"13:52:02\",\n \"action\": \"entity_update\",\n \"field_label\": \"Rating Values\",\n \"new_value\": {\n \"field_label\": \"Rating Values\",\n \"field_value\": \"{\\\"16\\\":{\\\"13\\\":{\\\"rsid\\\":13,\\\"mandatory\\\":\\\"0\\\"},\\\"14\\\":{\\\"rsid\\\":14,\\\"mandatory\\\":\\\"0\\\"},\\\"15\\\":{\\\"rsid\\\":15,\\\"mandatory\\\":\\\"0\\\"}}}\"\n },\n \"old_value\": {\n \"field_label\": \"Rating Values\",\n \"field_value\": \"{\\\"16\\\":[]}\"\n }\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"13:55:14\",\n \"action\": \"entity_update\",\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"new_value\": {\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"field_value\": \"{\\\"16\\\":1}\"\n },\n \"old_value\": {\n \"field_label\": \"Phase-wise Rating Configuration\",\n \"field_value\": \"{\\\"16\\\":0}\"\n }\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"14:01:20\",\n \"action\": \"entity_update\",\n \"field_label\": \"Field Configuration\",\n \"new_value\": {\n \"field_label\": \"Field Configuration\",\n \"field_value\": \"{\\\"title_de\\\":{\\\"en\\\":\\\"Title\\\"},\\\"itonics_idea_header_image\\\":{\\\"en\\\":\\\"Header Image\\\"},\\\"abstract_de\\\":{\\\"en\\\":\\\"Abstract\\\"},\\\"evaluators_16\\\":{\\\"en\\\":\\\"Evaluators Preparation\\\"},\\\"description_de\\\":{\\\"en\\\":\\\"Description\\\"},\\\"itoncis_idea_tags\\\":{\\\"en\\\":\\\"Tags\\\"},\\\"entity_authors\\\":{\\\"en\\\":\\\"Authors\\\"}}\"\n },\n \"old_value\": {\n \"field_label\": \"Field Configuration\",\n \"field_value\": \"{\\\"title_de\\\":{\\\"en\\\":\\\"Title\\\"},\\\"itonics_idea_header_image\\\":{\\\"en\\\":\\\"Header Image\\\"},\\\"abstract_de\\\":{\\\"en\\\":\\\"Abstract\\\"},\\\"description_de\\\":{\\\"en\\\":\\\"Description\\\"},\\\"itoncis_idea_tags\\\":{\\\"en\\\":\\\"Tags\\\"},\\\"entity_authors\\\":{\\\"en\\\":\\\"Authors\\\"}}\"\n }\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"14:06:06\",\n \"action\": \"entity_update\",\n \"field_label\": \"Workflow Phases\",\n \"new_value\": {\n \"field_label\": \"Workflow Phases\",\n \"field_value\": [\n \"6\",\n \"14\",\n \"16\",\n \"17\"\n ]\n },\n \"old_value\": {\n \"field_label\": \"Workflow Phases\",\n \"field_value\": [\n \"6\",\n \"16\",\n \"17\"\n ]\n }\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"14:10:10\",\n \"action\": \"entity_update\",\n \"field_label\": \"Phase-wise Permissions\",\n \"new_added_permissions\": {\n \"field_label\": \"Phase-wise Permissions\",\n \"field_value\": [\n \"6_createidea_99999\"\n ]\n },\n \"old_removed_permissions\": {\n \"field_label\": \"Phase-wise Permissions\",\n \"field_value\": []\n }\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"14:12:00\",\n \"action\": \"create\"\n }\n ]\n }\n }\n ]\n}"}],"_postman_id":"1ffda788-22c3-4027-b0ce-a418c16d1b55"}],"id":"530a6140-222e-401e-8689-3f8acc3efee1","description":"

Retrieving timeline data of elements of a type itonics_campaign_tr3.

Returns all available element timeline information for the type itonics_idea. Likely requires setting limits, i.e. pagination, for large data sets.

\"\n },\n \"old_value\": {\n \"field_label\": \"Description\",\n \"field_value\": \"\"\n }\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"14:33:03\",\n \"action\": \"entity_update\",\n \"field_label\": \"Authors\",\n \"new_value\": {\n \"field_label\": \"Authors\",\n \"field_value\": \"{\\\"432\\\":\\\"John Doe\\\"}\"\n },\n \"old_value\": {\n \"field_label\": \"Authors\",\n \"field_value\": \"\"\n }\n }\n ],\n \"2024-03-20\": [\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"14:35:30\",\n \"action\": \"phase_change\",\n \"old_value\": \"Review\",\n \"new_value\": \"Evaluate\"\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"14:36:01\",\n \"action\": \"phase_change\",\n \"old_value\": \"Submission\",\n \"new_value\": \"Review\"\n }\n ],\n \"2023-12-01\": [\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"14:37:00\",\n \"action\": \"like\"\n }\n ],\n \"2023-11-24\": [\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"14:38:01\",\n \"action\": \"entity_update\",\n \"field_label\": \"Image\",\n \"new_value\": {\n \"field_label\": \"Image\",\n \"field_value\": \"1159\"\n },\n \"old_value\": {\n \"field_label\": \"Image\",\n \"field_value\": \"\"\n }\n }\n ],\n \"2023-11-03\": []\n }\n },\n {\n \"id\": 60,\n \"title\": \"ML to find clothes that truly fit\",\n \"timeline\": {\n \"2024-09-10\": [\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"15:00:00\",\n \"action\": \"like\"\n }\n ],\n \"2023-11-03\": []\n }\n }\n ]\n}"}],"_postman_id":"f5da181f-0c8a-4512-b9a5-c80c491c7fcf"},{"name":"Single submissions","id":"3f19d49e-12b2-4df6-a4cc-5def0d711cd7","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/timeline.json?entity_type=itonics_idea&entity_id={submission_id}","description":"

Returns all timeline information for a single element of type itonics_idea matching the specified {entity_id}.

\n","urlObject":{"path":["api","timeline.json"],"host":["{base_url}"],"query":[{"key":"entity_type","value":"itonics_idea"},{"key":"entity_id","value":"{submission_id}"}],"variable":[]}},"response":[{"id":"a97281ca-2444-4712-b34c-e4f6dd1ba5a7","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/timeline.json?entity_type=itonics_idea&entity_id=262","host":["{base_url}"],"path":["api","timeline.json"],"query":[{"key":"entity_type","value":"itonics_idea"},{"key":"entity_id","value":"262"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/timeline.json?entity_type=itonics_idea&entity_id=262\",\n \"first\": \"{base_url}/api/timeline.json?entity_type=itonics_idea&entity_id=26&page=0\",\n \"last\": \"{base_url}/api/timeline.json?entity_type=itonics_idea&entity_id=262&page=0\",\n \"list\": [\n {\n \"id\": 262,\n \"title\": \"Gesture Recognition System for Smart Homes\",\n \"timeline\": {\n \"2025-07-11\": [\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"14:40:00\",\n \"action\": \"phase_change\",\n \"old_value\": \"Understand & Define\",\n \"new_value\": \"Ideation\"\n }\n ],\n \"2025-06-20\": [\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"14:44:01\",\n \"action\": \"entity_update\",\n \"field_label\": \"Tags\",\n \"new_value\": {\n \"field_label\": \"Tags\",\n \"field_value\": \",gesture recognition,motion detector,sensor,human–computer interaction\"\n },\n \"old_value\": {\n \"field_label\": \"Tags\",\n \"field_value\": \"\"\n }\n },\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"14:46:40\",\n \"action\": \"like\"\n },\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"14:47:11\",\n \"action\": \"like\"\n },\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"14:48:00\",\n \"action\": \"comment\",\n \"new_value\": \"

Great idea!

\"\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"14:50:01\",\n \"action\": \"like\"\n }\n ],\n \"2025-06-19\": [\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"14:52:09\",\n \"action\": \"entity_update\",\n \"field_label\": \"Image\",\n \"new_value\": {\n \"field_label\": \"Image\",\n \"field_value\": \"2328\"\n },\n \"old_value\": {\n \"field_label\": \"Image\",\n \"field_value\": \"\"\n }\n },\n {\n \"changed_by\": \"itonics.admin\",\n \"changed_at\": \"14:59:59\",\n \"action\": \"create\"\n }\n ]\n }\n }\n ]\n}"}],"_postman_id":"3f19d49e-12b2-4df6-a4cc-5def0d711cd7"}],"id":"3c823175-82df-4a89-96ca-04d0439143a7","description":"

Retrieving timeline data of elements of a type itonics_idea.

The following section lists all endpoints available for reading (retrieving) timeline (element history) data from your ITONICS application via GET requests.

\n","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"event":[{"listen":"prerequest","script":{"id":"3c9e8da5-870f-4987-806e-df58bd9880a7","type":"text/javascript","packages":{},"requests":{},"exec":[""]}},{"listen":"test","script":{"id":"7caedfe4-d03c-4483-b9f7-1fc015c431fb","type":"text/javascript","packages":{},"requests":{},"exec":[""]}}],"_postman_id":"6fff02d8-36c0-49cd-b590-2fb15971f80b"},{"name":"Table data","item":[{"name":"All elements","id":"9174ff09-5fb8-4b2d-9a4f-f04b8ff09906","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{ \r\n \"title\": \"string\",\r\n \"abstract\": \"string\",\r\n \"description\": \"string\",\r\n \"field_segment_hierarchy\": {\r\n \"field_segment_hierarchy_entity_segment\": [\"option_id\"],\r\n \"field_segment_hierarchy_entity_sub_segment\": [\"option_id\", \"option_id\"]\r\n },\r\n \"field_list_dropdown\": [\"option_id\"],\r\n \"field_list_dropdown_multiselect\": [\"option_id\", \"option_id\"],\r\n \"field_radio_button\": [\"option_id\"],\r\n \"field_single_checkbox\": 1,\r\n \"field_pearl_chain\": [\"option_id\"],\r\n \"field_single_line_input_text\": \"string\",\r\n \"field_single_line_input_email\": \"string\",\r\n \"field_single_line_input_url\": \"string\",\r\n \"field_single_line_input_number\": \"string\",\r\n \"field_date\": \"MM/DD/YYYY\",\r\n \"field_tags\": \"string, string\",\r\n \"field_user_search\": \"username\",\r\n \"field_user_group_search\": {\r\n \"group\": [\"option_id\", \"option_id\"],\r\n \"context\": [\"option_id\", \"option_id\"]\r\n },\r\n \"field_element_search\": {\r\n \"entity_type\": [1, 2]\r\n },\r\n \"field_file_upload\": \"base64_encoded_file\",\r\n \"relations\": {\r\n \"entity_type\": [10, 12]\r\n }\r\n}"},"url":"{base_url}/api/table_data.json?entity_type={entity_type}","description":"

Returns all available table data for the specified {entity_type}. Likely requires setting limits, i.e. pagination, for large data sets.

\n","urlObject":{"path":["api","table_data.json"],"host":["{base_url}"],"query":[{"key":"entity_type","value":"{entity_type}"}],"variable":[]}},"response":[{"id":"54ac5796-8fce-47d2-9086-a67bbb0b0c7e","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X_CSRF_Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/table_data.json?entity_type=itonics_technology_tr3&page=1","host":["{base_url}"],"path":["api","table_data.json"],"query":[{"key":"entity_type","value":"itonics_technology_tr3"},{"key":"page","value":"1"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/table_data.json?entity_type=itonics_technology_tr3\",\n \"first\": \"{base_url}/api/table_data.json?entity_type=itonics_technology_tr3&page=0\",\n \"last\": \"{base_url}/api/table_data.json?entity_type=itonics_technology_tr3&page=1\",\n \"list\":{\n \"10\":{\n \"table_risk_assessment\": {\n \"rows\":{\n \"technological\":{\n \"label\": \"Technological\",\n \"column_data\":{\n \"ability_to_cope\": {\n \"medium\": \"Medium\"\n },\n \"occurrence_score\": \"100\",\n \"impact_score\": \"60\"\n },\n \"Risk Score\": 160\n },\n \"budgetary\":{\n \"label\": \"Budgetary\",\n \"column_data\":{\n \"ability_to_cope\": {\n \"high\": \"High\"\n },\n \"occurrence_score\": \"50\",\n \"impact_score\": \"100\"\n },\n \"Risk Score\": 150\n },\n \"environmental\":{\n \"label\": \"Environmental\",\n \"column_data\":{\n \"ability_to_cope\": {\n \"low\": \"Low\"\n },\n \"occurrence_score\": \"35\",\n \"impact_score\": \"40\"\n },\n \"Risk Score\": 75\n },\n \"Totals\":{\n \"column_data\":{\n \"occurrence_score\": 185,\n \"impact_score\": 200\n },\n \"Risk Score\": 385\n }\n\n }\n }\n }\n }\n}"}],"_postman_id":"9174ff09-5fb8-4b2d-9a4f-f04b8ff09906"},{"name":"Single element","id":"6e2f96c2-b213-4354-b89a-d162280d94bd","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"{base_url}/api/table_data.json?entity_type={entity_type}&entity_id={id}","description":"

Returns all table data for a single element of type {entity_type} matching the specified {entity_id}.

\n","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":true,"source":{"_postman_id":"55d40284-4036-4db2-b9b3-af102c421693","id":"55d40284-4036-4db2-b9b3-af102c421693","name":"GET: Data retrieval","type":"folder"}},"urlObject":{"path":["api","table_data.json"],"host":["{base_url}"],"query":[{"key":"entity_type","value":"{entity_type}"},{"key":"entity_id","value":"{id}"}],"variable":[]}},"response":[{"id":"8fef5829-0c1c-4ae0-93f1-2db01b48830a","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X_CSRF_Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/table_data.json?entity_type=itonics_technology_tr3&entity_id=10","host":["{base_url}"],"path":["api","table_data.json"],"query":[{"key":"entity_type","value":"itonics_technology_tr3"},{"key":"entity_id","value":"10"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/table_data.json?entity_type=itonics_technology_tr3&entity_id=10\",\n \"first\": \"{base_url}/api/table_data.json?entity_type=itonics_technology_tr3&entity_id=10&page=0\",\n \"last\": \"{base_url}/api/table_data.json?entity_type=itonics_technology_tr3&entity_id=10&page=0\",\n \"list\": {\n \"10\": {\n \"table_risk_assessment\": {\n \"rows\": {\n \"technological\": {\n \"label\": \"Technological\",\n \"column_data\": {\n \"ability_to_cope\": {\n \"medium\": \"Medium\"\n },\n \"occurrence_score\": \"100\",\n \"impact_score\": \"60\"\n },\n \"Risk Score\": 160\n },\n \"budgetary\": {\n \"label\": \"Budgetary\",\n \"column_data\": {\n \"ability_to_cope\": {\n \"high\": \"High\"\n },\n \"occurrence_score\": \"50\",\n \"impact_score\": \"100\"\n },\n \"Risk Score\": 150\n },\n \"environmental\": {\n \"label\": \"Environmental\",\n \"column_data\": {\n \"ability_to_cope\": {\n \"low\": \"Low\"\n },\n \"occurrence_score\": \"35\",\n \"impact_score\": \"40\"\n },\n \"Risk Score\": 75\n },\n \"Totals\": {\n \"column_data\": {\n \"occurrence_score\": 185,\n \"impact_score\": 200\n },\n \"Risk Score\": 385\n }\n }\n }\n }\n }\n}"}],"_postman_id":"6e2f96c2-b213-4354-b89a-d162280d94bd"}],"id":"f988c506-614a-44d4-8f0d-c279b492d8a0","description":"

The following section lists all endpoints available for reading (retrieving) table data from your ITONICS application via GET requests.

\n","_postman_id":"f988c506-614a-44d4-8f0d-c279b492d8a0","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":true,"source":{"_postman_id":"55d40284-4036-4db2-b9b3-af102c421693","id":"55d40284-4036-4db2-b9b3-af102c421693","name":"GET: Data retrieval","type":"folder"}}},{"name":"Roadmap data","item":[{"name":"List of all roadmaps","event":[{"listen":"test","script":{"id":"768adf99-3341-4f4c-8b62-8ac36fde2394","exec":[""],"type":"text/javascript","packages":{},"requests":{}}}],"id":"29c534a1-a269-4715-a1d3-c6a2bee44c43","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/roadmap.json","description":"

Returns a list of all existing roadmaps in the system.

\n","urlObject":{"path":["api","roadmap.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"d6aa7390-ab8c-4908-a476-139c3683a117","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/roadmap.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/roadmap.json\",\n \"first\": \"{base_url}/api/roadmap.json?page=0\",\n \"last\": \"{base_url}/api/roadmap.json?page=0\",\n \"list\": {\n \"2\": \"Strategic Focus Field: Energy Efficient Development\",\n \"3\": \"Innovation Project Roadmap\",\n \"5\": \"Strategic Focus Fields: Sustainability\",\n \"9\": \"Strategic Focus Fields: Applied Artificial Intelligence\",\n \"12\": \"Strategic Focus Field: Digital Transformation\",\n \"25\": \"Green Mining Chemicals & Explosives\",\n \"27\": \"ProForm Series Development Roadmap\",\n \"30\": \"Sustainable Mobility\"\n }\n}"}],"_postman_id":"29c534a1-a269-4715-a1d3-c6a2bee44c43"},{"name":"Single roadmap","id":"d789ce72-1644-48c5-bfd6-937c7b4897e0","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/roadmap/{roadmap_id}.json","description":"

Returns all roadmap details (layer information, element information, sync roadmap-/ date information, milestone date/type/custom field information) matching the URI {id}.

Note: you can make use of additional page and limit GET meta controls.

\n","urlObject":{"path":["api","roadmap","{roadmap_id}.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"c7d05299-1076-471d-96d7-853ea2144f21","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/roadmap/3.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"pagination_urls\": {\n \"self\": \"{base_url}/api/roadmap/3.json?page=0\",\n \"first\": \"{base_url}/api/roadmap/3.json?page=0\",\n \"last\": \"{base_url}/api/roadmap/3.json?page=0\"\n },\n \"label\": \"Innovation Project Roadmap\",\n \"layers\": [\n {\n \"id\": \"12\",\n \"label\": \"Cost Saving\",\n \"elements\": [\n {\n \"element_id\": 12,\n \"entity_type\": \"itonics_innovation_project_tr3\",\n \"url\": \"/itonics_innovation_project_tr3/12/details\",\n \"title\": \"Insurance Packaging: Corporate Carpooling Programs\",\n \"abstract\": \"Carpooling is the sharing of car journeys so that more than one person travels in a car, and prevents the need for others to have to drive to a location themselves. By having more people using one vehicle, carpooling reduces each person's travel costs such as: fuel costs, tolls, and the stress of driving.\",\n \"start\": \"2022-11-15\",\n \"end\": \"2023-11-01\",\n \"status\": 1,\n \"is_synced\": true,\n \"milestones\": []\n },\n {\n \"element_id\": 50,\n \"entity_type\": \"itonics_trend\",\n \"url\": \"/itonics_trend/50/details\",\n \"title\": \"Upcycling of waste to useable products (i.e used oil)\",\n \"abstract\": \"Upcycling of waste into usable products, such as converting used oil into valuable resources, represents a transformative technology in the pursuit of sustainability and circular economy practices. This process involves innovative methods that repurpose waste materials, turning them into new, higher-value products, thereby reducing environmental impact and conserving natural resources. By transforming waste into useful commodities, upcycling not only mitigates the burden on landfills but also contributes to resource efficiency and economic value creation. As a key component of the global trend towards a more sustainable future, upcycling technologies are essential for reducing waste and promoting environmental stewardship across various industries.\",\n \"start\": \"2026-05-05\",\n \"end\": \"2029-11-13\",\n \"status\": 1,\n \"is_synced\": false,\n \"milestones\": []\n }\n ],\n \"children\": []\n },\n {\n \"id\": \"13\",\n \"label\": \"Process Optimization\",\n \"elements\": [\n {\n \"element_id\": 13,\n \"entity_type\": \"itonics_innovation_project_tr3\",\n \"url\": \"/itonics_innovation_project_tr3/13/details\",\n \"title\": \"VITALISE: ICT tools for shared access\",\n \"abstract\": \"The VITALISE project will develop ICT tools for shared access on similar devices and applications, integrating research and innovation processes in real-life settings.\",\n \"start\": \"2022-07-01\",\n \"end\": \"2025-12-31\",\n \"status\": 1,\n \"is_synced\": true,\n \"milestones\": [\n {\n \"milestone_title\": \"Board Review\",\n \"milestone_type\": 2,\n \"milestone_date\": \"2023-11-30\",\n \"milestone_description\": \"Board Revue Presentation at 2/3 point\",\n \"milestone_generated_id\": \"INNO-PRO-221631-MIL-3\",\n \"id\": \"3\"\n }\n ]\n },\n {\n \"element_id\": 2,\n \"entity_type\": \"itonics_innovation_project_tr3\",\n \"url\": \"/itonics_innovation_project_tr3/2/details\",\n \"title\": \"AR in Industrial Manufacturing\",\n \"abstract\": \"The manufacturing process encompasses lots of components. AR helps factory workers keep track of worksteps. New procedures are learned quickly being guided by AR support. Further fields of application are maintenance of production machinery and simulation of production layout.\",\n \"start\": \"2022-01-01\",\n \"end\": \"2024-04-30\",\n \"status\": 1,\n \"is_synced\": true,\n \"milestones\": [\n {\n \"milestone_title\": \"Supplier Longlist\",\n \"milestone_type\": 2,\n \"milestone_date\": \"2023-03-02\",\n \"milestone_description\": \"Shortlist of potential partners validated and presented to board for next steps decision. Next step: Shortlist.\",\n \"milestone_generated_id\": \"INNO-PRO-221631-MIL-8\",\n \"id\": \"8\"\n },\n {\n \"milestone_title\": \"Supplier Shortlist (5 max)\",\n \"milestone_type\": 2,\n \"milestone_date\": \"2023-06-21\",\n \"milestone_description\": \"\",\n \"milestone_generated_id\": \"INNO-PRO-221631-MIL-9\",\n \"id\": \"9\"\n }\n ]\n },\n {\n \"element_id\": 1,\n \"entity_type\": \"itonics_innovation_project_tr3\",\n \"url\": \"/itonics_innovation_project_tr3/1/details\",\n \"title\": \"Application Re-factoring for Efficiency\",\n \"abstract\": \"To make our applications more efficient at runtime as well as to save on cost with regards to redundant operations we are starting an initiative to refactor our Codebase for our internally running applications. Refactoring is a disciplined technique for restructuring an existing body of code, altering its internal structure without changing its external behavior.\",\n \"start\": \"2022-10-28\",\n \"end\": \"2024-05-15\",\n \"status\": 1,\n \"is_synced\": true,\n \"milestones\": []\n }\n ],\n \"children\": []\n },\n {\n \"id\": \"14\",\n \"label\": \"New Revenue\",\n \"elements\": [\n {\n \"element_id\": 11,\n \"entity_type\": \"itonics_innovation_project_tr3\",\n \"url\": \"/itonics_innovation_project_tr3/11/details\",\n \"title\": \"3D Bio-printing: tissue and organ fabrication\",\n \"abstract\": \"3D Bioprinting or bioprinting is a form of additive manufacturing that uses cells and biomaterials instead of traditional metals and plastics to create 3D constructs that are functional 3D tissues. These biomaterials are called bioinks, and they mimic the composition of our tissues.\",\n \"start\": \"2022-12-01\",\n \"end\": \"2027-12-31\",\n \"status\": 1,\n \"is_synced\": true,\n \"milestones\": []\n },\n {\n \"element_id\": 9,\n \"entity_type\": \"itonics_innovation_project_tr3\",\n \"url\": \"/itonics_innovation_project_tr3/9/details\",\n \"title\": \"AID-Connect: Centralised Healthcare Information\",\n \"abstract\": \"The Goal of the AID-Connect Project is to build a single platform that brings together all data needed for medical staff to make better informed decisions when working with clients. Making healthcare data generally accessible, connected and up to date, provided through one single point of truth (Information System).\",\n \"start\": \"2026-05-08\",\n \"end\": \"2030-06-06\",\n \"status\": 1,\n \"is_synced\": true,\n \"milestones\": [\n {\n \"milestone_title\": \"3rd Party NDAs\",\n \"milestone_type\": 1,\n \"milestone_date\": \"2027-12-02\",\n \"milestone_description\": \"All 3rd Party NDAs must be completed by this date.\",\n \"milestone_generated_id\": \"INNO-PRO-221631-MIL-6\",\n \"id\": \"6\"\n }\n ]\n },\n {\n \"element_id\": 4,\n \"entity_type\": \"itonics_innovation_project_tr3\",\n \"url\": \"/itonics_innovation_project_tr3/4/details\",\n \"title\": \"Intelligent 4D Moulds\",\n \"abstract\": \"The Intelligent 4D Moulds project aims to investigate the state-of-the-art of mould production processes and to develop a technological innovative system that will include new processes in mould production using computer vision and augmented reality techniques.\",\n \"start\": \"2021-10-31\",\n \"end\": \"2024-03-09\",\n \"status\": 1,\n \"is_synced\": true,\n \"milestones\": []\n },\n {\n \"element_id\": 7,\n \"entity_type\": \"itonics_innovation_project_tr3\",\n \"url\": \"/itonics_innovation_project_tr3/7/details\",\n \"title\": \"Climate Resilient Crops\",\n \"abstract\": \"Contingency planning for the safeguarding of the global nutrition is necessary. This project is exploring the potential of new gene editing technologies for the next generation of genetically modified crops for more climate resistant farming and overall food security.\",\n \"start\": \"2022-01-01\",\n \"end\": \"2024-12-31\",\n \"status\": 1,\n \"is_synced\": true,\n \"milestones\": [\n {\n \"milestone_title\": \"Board Presentation\",\n \"milestone_type\": 2,\n \"milestone_date\": \"2023-11-30\",\n \"milestone_description\": \"Executive Board Presentation for 2/3 Point.\",\n \"milestone_generated_id\": \"INNO-PRO-221631-MIL-4\",\n \"id\": \"4\"\n },\n {\n \"milestone_title\": \"NDA signed with J&J\",\n \"milestone_type\": 1,\n \"milestone_date\": \"2022-02-01\",\n \"milestone_description\": \"We need an NDA with our main collaboration partner by this date.\",\n \"milestone_generated_id\": \"INNO-PRO-221631-MIL-5\",\n \"id\": \"5\"\n }\n ]\n }\n ],\n \"children\": []\n },\n {\n \"id\": \"15\",\n \"label\": \"Sustainability\",\n \"elements\": [\n {\n \"element_id\": 8,\n \"entity_type\": \"itonics_innovation_project_tr3\",\n \"url\": \"/itonics_innovation_project_tr3/8/details\",\n \"title\": \"Material and Waste Upcycling\",\n \"abstract\": \"Upcycling, also known as creative reuse, is the process of transforming by-products, waste materials, useless, or unwanted products into new materials or products perceived to be of greater quality, such as artistic value or environmental value.\",\n \"start\": \"2022-11-15\",\n \"end\": \"2025-11-15\",\n \"status\": 1,\n \"is_synced\": true,\n \"milestones\": []\n },\n {\n \"element_id\": 6,\n \"entity_type\": \"itonics_innovation_project_tr3\",\n \"url\": \"/itonics_innovation_project_tr3/6/details\",\n \"title\": \"3D Printable Thermal Insulation\",\n \"abstract\": \"With an ongoing cost of living crisis as well as rising energy costs cheap and affordable materials as well as energy saving solutions are necessary. 3D printing and the usage smart usage of thermal insulating materials in the manufacturing of buildings and structures in general poses a cheap and automatable manufacturing methods.\",\n \"start\": \"2022-08-01\",\n \"end\": \"2024-07-01\",\n \"status\": 1,\n \"is_synced\": true,\n \"milestones\": []\n }\n ],\n \"children\": []\n },\n {\n \"id\": \"16\",\n \"label\": \"Customer Retention\",\n \"elements\": [\n {\n \"element_id\": 10,\n \"entity_type\": \"itonics_innovation_project_tr3\",\n \"url\": \"/itonics_innovation_project_tr3/10/details\",\n \"title\": \"VLTR: Employee Volunteering Program\",\n \"abstract\": \"The aim of this project is to introduce a company-wide, publicly marketable program that enables our employees to take 2 days per year in addition to their vacation for socially responsible volunteer work. This project is part of the company-wide CSR initiative.\",\n \"start\": \"2022-01-01\",\n \"end\": \"2022-11-30\",\n \"status\": 1,\n \"is_synced\": true,\n \"milestones\": [\n {\n \"milestone_title\": \"Final Executive Board Presentation\",\n \"milestone_type\": 2,\n \"milestone_date\": \"2022-10-31\",\n \"milestone_description\": \"Final Executive Board Presentation Before Roll-out\",\n \"milestone_generated_id\": \"INNO-PRO-221631-MIL-7\",\n \"id\": \"7\"\n }\n ]\n },\n {\n \"element_id\": 5,\n \"entity_type\": \"itonics_innovation_project_tr3\",\n \"url\": \"/itonics_innovation_project_tr3/5/details\",\n \"title\": \"C-Transparency: Public accessible Supply Chain Information\",\n \"abstract\": \"With increasing pressure from our clients we need to make the information of our supplied and sourced materials as well as services available. Therefore, the C-Transparency project has been brought into life to implement a digital solution making our supply chain globally transparent and available.\",\n \"start\": \"2023-12-01\",\n \"end\": \"2025-12-31\",\n \"status\": 1,\n \"is_synced\": true,\n \"milestones\": []\n }\n ],\n \"children\": []\n },\n {\n \"id\": \"17\",\n \"label\": \"Supporting Drivers\",\n \"elements\": [],\n \"children\": [\n {\n \"id\": \"6\",\n \"label\": \"Trends\",\n \"elements\": [\n {\n \"element_id\": 10,\n \"entity_type\": \"itonics_trend\",\n \"url\": \"/itonics_trend/10/details\",\n \"title\": \"Mobility Ecosystems\",\n \"abstract\": \"There is a gradual shift from fragmented transport systems to integrated Mobility Ecosystems. Under this new paradigm, users are empowered with the information and means to travel seamlessly using multiple modes of transport to reach their destination with ease. This new mobility is inherently connected and relies on the use of technology like IoT, autonomous mobility, and smart sensors. It combines multiple modes of mobility—including on-demand ride and car shares, electric and autonomous vehicles, micro-mobility, and high-tech public transport systems. New business models have also emerged based on data monetization, as opposed to pay-per-unit models.\",\n \"start\": \"2018-08-06\",\n \"end\": \"2022-04-26\",\n \"status\": 1,\n \"is_synced\": false,\n \"milestones\": []\n },\n {\n \"element_id\": 18,\n \"entity_type\": \"itonics_trend\",\n \"url\": \"/itonics_trend/18/details\",\n \"title\": \"Data Sustainability\",\n \"abstract\": \"Data Sustainability refers to growing awareness of the carbon footprint associated with storing and managing ever-growing quantities of data. As some of the biggest electricity users and carbon emitters in their big data supply chains, big tech companies such as Google and Amazon are incorporating Data Sustainability into their policies and practices. As cloud computing proliferates and more data centers are set up globally, Data Sustainability will become increasingly relevant as environmental, social, and governance (ESG) regulations tighten for tech companies.\",\n \"start\": \"2019-11-02\",\n \"end\": \"2025-02-10\",\n \"status\": 1,\n \"is_synced\": false,\n \"milestones\": []\n },\n {\n \"element_id\": 15,\n \"entity_type\": \"itonics_trend\",\n \"url\": \"/itonics_trend/15/details\",\n \"title\": \"Future Farming\",\n \"abstract\": \"Future Farming refers to different methods of leveraging technological advances to develop sustainable agricultural practices for an increasing global population facing a resource-stressed future. Factors like population growth, food wastage, soil degradation, and changing rainfall patterns increase pressure on already scarce fertile land. Innovators in the agricultural industry are exploring avenues such as vertical farming, hydroponics, and even underwater farming methods. These alternative approaches augment traditional farming methods by incorporating emergent technologies, driving the agricultural sector towards a more sustainable future.\",\n \"start\": \"2019-01-12\",\n \"end\": \"2024-12-13\",\n \"status\": 1,\n \"is_synced\": false,\n \"milestones\": []\n }\n ],\n \"children\": []\n },\n {\n \"id\": \"19\",\n \"label\": \"Technologies\",\n \"elements\": [\n {\n \"element_id\": 1,\n \"entity_type\": \"itonics_technology_tr3\",\n \"url\": \"/itonics_technology_tr3/1/details\",\n \"title\": \"Biomanufacturing\",\n \"abstract\": \"Biomanufacturing is a production method that draws on biological systems to create biomaterials, especially within the healthcare, pharmaceutical, food, and drink industries. Prominent applications include biology-based therapeutics and lab-grown meats. Using Biomanufacturing to re-engineer biological organisms unlocks new scientific and engineering innovation potential. In addition, integrating artificial intelligence (AI) allows biomanufacturers to transition to smart systems capable of advanced analytics and automation. However, this transition requires adequately large, centralized, and governed datasets. Other challenges to scaling Biomanufacturing for commercial purposes include high costs, regulation, and, in some cases, unknown long-term environmental and health effects.\",\n \"start\": \"2018-11-23\",\n \"end\": \"2021-01-16\",\n \"status\": 1,\n \"is_synced\": false,\n \"milestones\": []\n },\n {\n \"element_id\": 27,\n \"entity_type\": \"itonics_technology_tr3\",\n \"url\": \"/itonics_technology_tr3/27/details\",\n \"title\": \"3D Printing\",\n \"abstract\": \"3D Printing, also known as additive manufacturing, is a process of creating three-dimensional solid objects by printing successive horizontal layers of an object's digital file. The technology has the potential to revolutionize the global manufacturing industry due to its ability to print highly complex, customizable structures and to be embedded within a digital end-to-end value chain. Initially limited to prototyping, the technology has advanced rapidly in the past decade to become more sustainable and versatile than traditional manufacturing in some instances. Sectors including healthcare, automotive, defense, construction, aerospace, and food continuously push the boundaries of custom manufacturing, reducing material waste and production time. More widespread adoption of 3D Printing technology will likely require further progress in speed and scalability.\",\n \"start\": \"2018-03-30\",\n \"end\": \"2023-01-20\",\n \"status\": 1,\n \"is_synced\": false,\n \"milestones\": []\n },\n {\n \"element_id\": 22,\n \"entity_type\": \"itonics_technology_tr3\",\n \"url\": \"/itonics_technology_tr3/22/details\",\n \"title\": \"CRISPR\",\n \"abstract\": \"CRISPR (or CRISPR-Cas9), which stands for clustered regularly interspaced short palindromic repeat, is gene editing technology that enables the modification of an organism's DNA sequence. Unveiled in 2012, CRISPR has revolutionized the gene editing process by making it significantly easier and faster. More established applications include engineering disease resistance in plants and research into human disease prevention. Recent advances in CRISPR are expanding the impact beyond medical and agricultural applications to include developing biofuels, preserving biodiversity, and tracing cell lineages as a basis for further research. Ensuring precision when replacing faulty genes remains more complex than simply disabling a gene using CRISPR. There are also significant ethical concerns around the technology, specifically in the context of future human genome manipulation.\",\n \"start\": \"2019-03-01\",\n \"end\": \"2023-01-05\",\n \"status\": 1,\n \"is_synced\": false,\n \"milestones\": []\n },\n {\n \"element_id\": 26,\n \"entity_type\": \"itonics_technology_tr3\",\n \"url\": \"/itonics_technology_tr3/26/details\",\n \"title\": \"Aerogels\",\n \"abstract\": \"Aerogels are a class of porous gel materials in which gas replaces liquid while retaining the material's shape. They are the world's lightest, least dense solid materials, are extremely stable, and have high-performance thermal insulation properties. The material creates new opportunities for low-density structural materials and is shown to reduce fire risk in electronic and battery devices. These properties make aerogel valuable for various industrial applications, including building construction, vehicles, and solar devices. There are also advancements in using metal aerogel in the field of energy storage. Although scientists discovered Aerogels in the 1930s, their full potential has yet to be realized as research is done to overcome limitations related to durability, the costs of material feedstocks, and manufacturing inefficiencies.\",\n \"start\": \"2018-09-09\",\n \"end\": \"2022-02-23\",\n \"status\": 1,\n \"is_synced\": false,\n \"milestones\": []\n },\n {\n \"element_id\": 16,\n \"entity_type\": \"itonics_technology_tr3\",\n \"url\": \"/itonics_technology_tr3/16/details\",\n \"title\": \"Intelligent Manufacturing\",\n \"abstract\": \"Intelligent Manufacturing involves applying Artificial Intelligence (AI) to the physical aspects of a manufacturing process. Intelligent Manufacturing seeks to increase productivity, improve product quality, reduce costs, and minimize equipment downtime. Intelligent Manufacturing uses real-time data from machine sensors, AI, the Internet of Things (IoT), and Machine Learning (ML) to examine the health of the manufacturing equipment and processes, predict critical events and take preventative action to avoid these problems. Industry 4.0 will open doors for innovation within this domain, while challenges to adoption include high initial investment costs, security issues, skills shortages, and difficulty integrating technology with legacy infrastructure.\",\n \"start\": \"2016-09-27\",\n \"end\": \"2019-12-18\",\n \"status\": 1,\n \"is_synced\": false,\n \"milestones\": []\n }\n ],\n \"children\": [\n {\n \"id\": \"20\",\n \"label\": \"Technology Applications\",\n \"elements\": [\n {\n \"element_id\": 20,\n \"entity_type\": \"type_technology_application\",\n \"url\": \"/type_technology_application/20/details\",\n \"title\": \"Floating Foundation for an offshore wind turbine\",\n \"abstract\": \"The invention describes a floating foundation (1) for supporting an offshore wind turbine assembly (2, 2a, 2b, 2c), comprising a mounting interface (12) for mounting a wind turbine tower (21) to the floating foundation (1) and an anchor arrangement (18) for anchoring the floating foundation (1) to the seabed (B). The inventive floating foundation is characterized by an underwater yaw system (13) comprising a plurality of marine propeller units (10) mounted to the floating foundation (1) to facilitate a rotation (Y) of the offshore wind turbine assembly (2) about a vertical axis (VR) and/or to effect a lateral displacement (D) of the offshore wind turbine assembly (2, 2a, 2b, 2c); and a marine propeller controller (130) configured to actuate one or more marine propeller units (10).\",\n \"start\": \"2017-02-16\",\n \"end\": \"2020-02-05\",\n \"status\": 1,\n \"is_synced\": false,\n \"milestones\": []\n },\n {\n \"element_id\": 26,\n \"entity_type\": \"type_technology_application\",\n \"url\": \"/type_technology_application/26/details\",\n \"title\": \"Over-the-air (OTA) mobility services platform\",\n \"abstract\": \"An over-the-air (OTA) mobility service platform (MSP) is disclosed that provides a variety of OTA services, including but not limited to: updating software OTA (SOTA), updating firmware OTA (FOTA), client connectivity, remote control and operation monitoring. In some exemplary embodiments, the MSP is a distributed computing platform that delivers and/or updates one or more of configuration data, rules, scripts and other services to vehicles and IoT devices. In some exemplary embodiments, the MSP optionally provides data ingestion, storage and management, data analytics, real-time data processing, remote control of data retrieving, insurance fraud verification, predictive maintenance and social media support.\",\n \"start\": \"2021-01-15\",\n \"end\": \"2023-05-11\",\n \"status\": 1,\n \"is_synced\": false,\n \"milestones\": []\n },\n {\n \"element_id\": 16,\n \"entity_type\": \"type_technology_application\",\n \"url\": \"/type_technology_application/16/details\",\n \"title\": \"Self-learning Factory\",\n \"abstract\": \"Self Learning Factory (SLF) concept, a set of functionalities providing intelligent recommendations for ongoing production processes and predicting the condition of machinery based on intelligent predictive models.\",\n \"start\": \"2020-04-01\",\n \"end\": \"2023-04-07\",\n \"status\": 1,\n \"is_synced\": false,\n \"milestones\": []\n },\n {\n \"element_id\": 32,\n \"entity_type\": \"type_technology_application\",\n \"url\": \"/type_technology_application/32/details\",\n \"title\": \"Ionizable cationic lipid for RNA delivery\",\n \"abstract\": \"What is described herein are cationic lipids that facilitate the intracellular delivery of biologically active molecules, comprising a compound of formula I wherein R1 is a linear alkyl, alkenyl, or alkynyl of 2 to 12 carbons, or a branched alkyl with 7-25 R2 is a branched alkenyl with 7-25 carbons, L1 and L2 are independently a linear alkenylene with 2-18 carbons, X is S or O, L3 is a bond, and R3 R4, and R5 are each a linear or branched alkylene with 1-6 carbons.\",\n \"start\": \"2020-02-17\",\n \"end\": \"2023-04-05\",\n \"status\": 1,\n \"is_synced\": false,\n \"milestones\": []\n },\n {\n \"element_id\": 48,\n \"entity_type\": \"type_technology_application\",\n \"url\": \"/type_technology_application/48/details\",\n \"title\": \"AI-powered Industrial Robots\",\n \"abstract\": \"Artificial intelligence and robotics will prove beneficial in bringing advancement in manufacturing and fulfilling increasing consumer demands.\",\n \"start\": \"2018-09-14\",\n \"end\": \"2022-11-08\",\n \"status\": 1,\n \"is_synced\": false,\n \"milestones\": []\n }\n ],\n \"children\": []\n }\n ]\n }\n ]\n }\n ]\n}"}],"_postman_id":"d789ce72-1644-48c5-bfd6-937c7b4897e0"},{"name":"Single roadmap connection data","id":"49bba683-b503-40e3-8381-eee687d79114","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/roadmap/{roadmap_id}.json?type=connection","description":"

Use ?type=connection to retrieve roadmap connection types for the URI {id}.

\n","urlObject":{"path":["api","roadmap","{roadmap_id}.json"],"host":["{base_url}"],"query":[{"key":"type","value":"connection"}],"variable":[]}},"response":[{"id":"25791840-b4f6-4c36-959c-29727d2da8e3","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/roadmap/3.json?type=connection","host":["{base_url}"],"path":["api","roadmap","3.json"],"query":[{"key":"type","value":"connection"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n \"connections\": {\n \"12\": {\n \"connection_id\": 12,\n \"connection_type_id\": 0,\n \"origin\": {\n \"element_id\": 10,\n \"entity_type\": \"itonics_trend\"\n },\n \"target\": {\n \"element_id\": 12,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"14\": {\n \"connection_id\": 14,\n \"connection_type_id\": 0,\n \"origin\": {\n \"element_id\": 18,\n \"entity_type\": \"itonics_trend\"\n },\n \"target\": {\n \"element_id\": 1,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"16\": {\n \"connection_id\": 16,\n \"connection_type_id\": 0,\n \"origin\": {\n \"element_id\": 16,\n \"entity_type\": \"type_technology_application\"\n },\n \"target\": {\n \"element_id\": 2,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"22\": {\n \"connection_id\": 22,\n \"connection_type_id\": 0,\n \"origin\": {\n \"element_id\": 15,\n \"entity_type\": \"itonics_trend\"\n },\n \"target\": {\n \"element_id\": 7,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"48\": {\n \"connection_id\": 48,\n \"connection_type_id\": 0,\n \"origin\": {\n \"element_id\": 10,\n \"entity_type\": \"itonics_trend\"\n },\n \"target\": {\n \"element_id\": 12,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"50\": {\n \"connection_id\": 50,\n \"connection_type_id\": 0,\n \"origin\": {\n \"element_id\": 18,\n \"entity_type\": \"itonics_trend\"\n },\n \"target\": {\n \"element_id\": 1,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"58\": {\n \"connection_id\": 58,\n \"connection_type_id\": 0,\n \"origin\": {\n \"element_id\": 15,\n \"entity_type\": \"itonics_trend\"\n },\n \"target\": {\n \"element_id\": 7,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"61\": {\n \"connection_id\": 61,\n \"connection_type_id\": 1,\n \"origin\": {\n \"element_id\": 10,\n \"entity_type\": \"itonics_trend\"\n },\n \"target\": {\n \"element_id\": 12,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"63\": {\n \"connection_id\": 63,\n \"connection_type_id\": 0,\n \"origin\": {\n \"element_id\": 18,\n \"entity_type\": \"itonics_trend\"\n },\n \"target\": {\n \"element_id\": 1,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"64\": {\n \"connection_id\": 64,\n \"connection_type_id\": 2,\n \"origin\": {\n \"element_id\": 26,\n \"entity_type\": \"type_technology_application\"\n },\n \"target\": {\n \"element_id\": 13,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"66\": {\n \"connection_id\": 66,\n \"connection_type_id\": 0,\n \"origin\": {\n \"element_id\": 1,\n \"entity_type\": \"itonics_technology_tr3\"\n },\n \"target\": {\n \"element_id\": 11,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"67\": {\n \"connection_id\": 67,\n \"connection_type_id\": 2,\n \"origin\": {\n \"element_id\": 27,\n \"entity_type\": \"itonics_technology_tr3\"\n },\n \"target\": {\n \"element_id\": 11,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"68\": {\n \"connection_id\": 68,\n \"connection_type_id\": 0,\n \"origin\": {\n \"element_id\": 27,\n \"entity_type\": \"itonics_technology_tr3\"\n },\n \"target\": {\n \"element_id\": 6,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"69\": {\n \"connection_id\": 69,\n \"connection_type_id\": 2,\n \"origin\": {\n \"element_id\": 32,\n \"entity_type\": \"type_technology_application\"\n },\n \"target\": {\n \"element_id\": 9,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"70\": {\n \"connection_id\": 70,\n \"connection_type_id\": 2,\n \"origin\": {\n \"element_id\": 48,\n \"entity_type\": \"type_technology_application\"\n },\n \"target\": {\n \"element_id\": 4,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"71\": {\n \"connection_id\": 71,\n \"connection_type_id\": 0,\n \"origin\": {\n \"element_id\": 15,\n \"entity_type\": \"itonics_trend\"\n },\n \"target\": {\n \"element_id\": 7,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"72\": {\n \"connection_id\": 72,\n \"connection_type_id\": 2,\n \"origin\": {\n \"element_id\": 22,\n \"entity_type\": \"itonics_technology_tr3\"\n },\n \"target\": {\n \"element_id\": 7,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n },\n \"73\": {\n \"connection_id\": 73,\n \"connection_type_id\": 2,\n \"origin\": {\n \"element_id\": 26,\n \"entity_type\": \"itonics_technology_tr3\"\n },\n \"target\": {\n \"element_id\": 6,\n \"entity_type\": \"itonics_innovation_project_tr3\"\n }\n }\n }\n}"}],"_postman_id":"49bba683-b503-40e3-8381-eee687d79114"}],"id":"805d20bd-9924-4e2e-a729-0aad55786556","description":"

The following section lists all endpoints available for reading (retrieving) roadmap data from your ITONICS application via GET requests.

Returns all role configuration changes tracked in the system logs, including creation, update, and deletion of roles.

Note: filters controls, limits, and pagination work as expected, and the from_date and to_date filter controls also support YYYY-MM-DD hh:mm:ss format.

\n","urlObject":{"path":["api","system_logs","role-configuration.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"765b6919-f699-4d6d-bf93-6a650c38d4de","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/system_logs/role-configuration.json?limit=2&page=1","host":["{base_url}"],"path":["api","system_logs","role-configuration.json"],"query":[{"key":"limit","value":"2"},{"key":"page","value":"1"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/system_logs/role-configuration?limit=2&page=0\",\n \"first\": \"{base_url}/api/system_logs/role-configuration?limit=2&page=0\",\n \"last\": \"{base_url}/api/system_logs/role-configuration?limit=2&page=1\",\n \"next\": \"{base_url}/api/system_logs/role-configuration?limit=2&page=1\",\n \"list\": [\n {\n \"administrator_user\": \"ITONICS Admin\",\n \"user_id\": \"1\",\n \"action_type\": \"deleted\",\n \"date_time\": \"2026-03-23 15:33:51\",\n \"name\": \"Tester\"\n },\n {\n \"administrator_user\": \"ITONICS Admin\",\n \"user_id\": \"1\",\n \"action_type\": \"deleted\",\n \"date_time\": \"2026-03-18 12:07:19\",\n \"name\": \"Viewer\"\n }\n ]\n}"}],"_postman_id":"7a0a8814-f351-40b0-942f-13ceaf0d2a59"},{"name":"Role permission configuration","id":"47dbd7ca-335d-48f5-8299-38432dc62853","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/system_logs/role-permission-configuration.json","description":"

Returns all system logs for changes to the role permission configuration, including permission assignments and removals for different core modules.

Note: filters controls, limits, and pagination work as expected, and the from_date and to_date filter controls also support YYYY-MM-DD hh:mm:ss format.

\n","urlObject":{"path":["api","system_logs","role-permission-configuration.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"06417c20-802e-44ec-91ef-b292dfa22196","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/system_logs/role-permission-configuration.json?limit=2&page=1","host":["{base_url}"],"path":["api","system_logs","role-permission-configuration.json"],"query":[{"key":"limit","value":"2"},{"key":"page","value":"1"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/system_logs/role-permission-configuration?limit=2&page=0\",\n \"first\": \"{base_url}/api/system_logs/role-permission-configuration?limit=2&page=0\",\n \"last\": \"{base_url}/api/system_logs/role-permission-configuration?limit=2&page=1\",\n \"next\": \"{base_url}/api/system_logs/role-permission-configuration?limit=2&page=1\",\n \"list\": [\n {\n \"administrator_user\": \"Jane Doe\",\n \"user_id\": \"16\",\n \"date_time\": \"2026-03-23 15:28:53\",\n \"Permission Configuration\": \"Trend\",\n \"permissions\": [\n {\n \"affected_role_id\": 5,\n \"affected_role\": \"Viewer\",\n \"permission\": \"View all trend\",\n \"status\": \"enabled\"\n },\n {\n \"affected_role_id\": 2,\n \"affected_role\": \"Power user\",\n \"permission\": \"View own trend\",\n \"status\": \"enabled\"\n },\n {\n \"affected_role_id\": 10,\n \"affected_role\": \"Scout\",\n \"permission\": \"View any unpublished trend\",\n \"status\": \"enabled\"\n },\n {\n \"affected_role_id\": 2,\n \"affected_role\": \"PowerUser\",\n \"permission\": \"View own unpublished trend\",\n \"status\": \"enabled\"\n }\n ]\n }\n ]\n}"}],"_postman_id":"47dbd7ca-335d-48f5-8299-38432dc62853"},{"name":"User role configuration","id":"af4bfd37-f5ea-47c2-bc80-b7a6e3176e22","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/system_logs/user-role-configuration.json","description":"

Returns all user role configuration changes tracked in the system logs, including previous and current role assignments, acting user, and targeted user.
Note: filters controls, limits, and pagination work as expected, and the from_date and to_date filter controls also support YYYY-MM-DD hh:mm:ss format.

\n","urlObject":{"path":["api","system_logs","user-role-configuration.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"88c1c671-5f7e-4871-bc77-fb90ff77e445","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/system_logs/user-role-configuration.json?limit=2&page=1","host":["{base_url}"],"path":["api","system_logs","user-role-configuration.json"],"query":[{"key":"limit","value":"2"},{"key":"page","value":"1"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/system_logs/user-role-configuration?limit=1&page=0\",\n \"first\": \"{base_url}/api/system_logs/user-role-configuration?limit=1&page=0\",\n \"last\": \"{base_url}/api/system_logs/user-role-configuration?limit=1&page=1\",\n \"next\": \"{base_url}/api/system_logs/user-role-configuration?limit=1&page=1\",\n \"list\": [\n {\n \"administrator_user\": \"ITONICS Admin\",\n \"user_id\": \"7\",\n \"action_type\": \"role_added\",\n \"date_time\": \"2026-03-24 10:27:08\",\n \"affected_user\": \"john.doe\",\n \"affected_user_id\": \"2125\",\n \"previous_roles\": [\n {\n \"rid\": 2,\n \"role\": \"Power User\"\n },\n {\n \"rid\": 5,\n \"role\": \"Application Owner\"\n }\n ],\n \"current_roles\": [\n {\n \"rid\": 5,\n \"machine_name\": 5,\n \"title\": \"Application Owner\"\n },\n {\n \"rid\": 12,\n \"machine_name\": 12,\n \"title\": \"Tester\"\n },\n {\n \"rid\": 2,\n \"machine_name\": 2,\n \"title\": \"Power User\"\n }\n ]\n }\n ]\n}"}],"_postman_id":"af4bfd37-f5ea-47c2-bc80-b7a6e3176e22"},{"name":"Share permission changes","id":"6ed00172-5120-41d5-9489-a9c30c4ad19b","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/system_logs/share-permission-log.json","description":"

Returns all share permission changes for the grant/request permission feature tracked in the system logs, including approver, recipients, permissions granted/removed, and element and entity type affected.

Note: date filter controls, entity_type filter limits, and pagination work as expected, and the from_date and to_date filter controls also support YYYY-MM-DD hh:mm:ss format.

\n","urlObject":{"path":["api","system_logs","share-permission-log.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"2aaae6aa-cf20-45b0-a8d1-0d3acd30f60f","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/system_logs/share-permission-log.json?limit=2&page=1&entity_type=itonics_trend","host":["{base_url}"],"path":["api","system_logs","share-permission-log.json"],"query":[{"key":"limit","value":"2"},{"key":"page","value":"1"},{"key":"entity_type","value":"itonics_trend"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/system_logs/share-permission-log?limit=1&page=0\",\n \"first\": \"{base_url}/api/system_logs/share-permission-log?limit=1&page=0\",\n \"last\": \"{base_url}/api/system_logs/share-permission-log?limit=1&page=1\",\n \"next\": \"{base_url}/api/system_logs/share-permission-log?limit=1&page=1\",\n \"list\": [\n {\n \"approval\": \"ITONICS Admin\",\n \"approval_id\": \"1\",\n \"shared_to\": [\n \"Group 1 (Recipientgroup)\"\n ],\n \"permissions\": [\n \"Rate\"\n ],\n \"element\": \"Data mining\",\n \"element_id\": \"61\",\n \"entity_type\": \"Trend\",\n \"entity_type_machine_name\": \"itonics_trend\",\n \"action_type\": \"entity_share\",\n \"status\": \"entity_share\",\n \"date_time\": \"2026-03-18 12:20:51\"\n },\n {\n \"approval\": \"ITONICS Admin\",\n \"approval_id\": \"1\",\n \"shared_to\": [\n \"John Doe (User)\"\n ],\n \"permissions\": [\n \"Edit (General Information, Relation)\",\n \"View (Details, Rating Analysis, Tasks)\",\n \"Rate\",\n \"Delete\"\n ],\n \"element\": \"Data mining\",\n \"element_id\": \"61\",\n \"entity_type\": \"Trend\",\n \"entity_type_machine_name\": \"itonics_trend\",\n \"action_type\": \"entity_share\",\n \"status\": \"entity_share\",\n \"date_time\": \"2026-03-18 12:20:02\"\n }\n ]\n}"}],"_postman_id":"6ed00172-5120-41d5-9489-a9c30c4ad19b"}],"id":"10d3f260-dc9a-4c8e-b614-70e5d83c7647","description":"

The following section lists all endpoints available for reading (retrieving) system log (audit logs) data from your ITONICS application via GET requests.

\n","_postman_id":"10d3f260-dc9a-4c8e-b614-70e5d83c7647","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":true,"source":{"_postman_id":"55d40284-4036-4db2-b9b3-af102c421693","id":"55d40284-4036-4db2-b9b3-af102c421693","name":"GET: Data retrieval","type":"folder"}}},{"name":"System statistics","item":[{"name":"Entity info","id":"4e57989a-1678-4b0d-a229-d70d451d276e","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/entity_stats/entity_info.json","description":"

Returns a list of all entity types, incl. their machine names, total element count, and element creation tendency (last 60 days).

\n","urlObject":{"path":["api","entity_stats","entity_info.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"98c191a7-4e29-47cf-9c8b-6e23cfefb7bc","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/entity_stats/entity_info.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"itonics_trend\": {\n \"label\": \"Trend\",\n \"count\": \"44\",\n \"distribution\": \"3.5 %\",\n \"last_30_days_record\": {\n \"entity_created_within_the_last_30_days\": \"22\",\n \"status_compare_to_last_thirty_days\": \"monthly-increase\",\n \"percentage_compare_to_last_thirty_days\": \"50 % \"\n }\n },\n \"itonics_technology_tr3\": {\n \"label\": \"Technology\",\n \"count\": \"90\",\n \"distribution\": \"7.1 %\",\n \"last_30_days_record\": {\n \"entity_created_within_the_last_30_days\": \"10\",\n \"status_compare_to_last_thirty_days\": \"monthly-increase\",\n \"percentage_compare_to_last_thirty_days\": \"+ 9 % \"\n }\n },\n \"type_technology_application\": {\n \"label\": \"Technology Application\",\n \"count\": \"101\",\n \"distribution\": \"8.0 %\",\n \"last_30_days_record\": {\n \"entity_created_within_the_last_30_days\": \"10\",\n \"status_compare_to_last_thirty_days\": \"monthly-increase\",\n \"percentage_compare_to_last_thirty_days\": \"+ 10 % \"\n }\n },\n \"type_startup\": {\n \"label\": \"Startup\",\n \"count\": \"110\",\n \"distribution\": \"8.7 %\",\n \"last_30_days_record\": {\n \"entity_created_within_the_last_30_days\": \"1\",\n \"status_compare_to_last_thirty_days\": \"monthly-increase\",\n \"percentage_compare_to_last_thirty_days\": \"0 % \"\n }\n },\n \"itonics_company_tr3\": {\n \"label\": \"Company\",\n \"count\": \"81\",\n \"distribution\": \"6.4 %\",\n \"last_30_days_record\": {\n \"entity_created_within_the_last_30_days\": \"0\",\n \"status_compare_to_last_thirty_days\": \"monthly-increase\",\n \"percentage_compare_to_last_thirty_days\": \"+ 0 % \"\n }\n },\n \"type_voice_of_customer_voc_\": {\n \"label\": \"Need / Voice of Customer (VOC)\",\n \"count\": \"10\",\n \"distribution\": \"0.8 %\",\n \"last_30_days_record\": {\n \"entity_created_within_the_last_30_days\": \"0\",\n \"status_compare_to_last_thirty_days\": \"monthly-increase\",\n \"percentage_compare_to_last_thirty_days\": \"+ 0 % \"\n }\n },\n \"itonics_inspiration_tr3\": {\n \"label\": \"Signal\",\n \"count\": \"163\",\n \"distribution\": \"12.9 %\",\n \"last_30_days_record\": {\n \"entity_created_within_the_last_30_days\": \"2\",\n \"status_compare_to_last_thirty_days\": \"monthly-increase\",\n \"percentage_compare_to_last_thirty_days\": \"0 % \"\n }\n },\n \"itonics_opportunityspace_tr3\": {\n \"label\": \"Strategic Focus Field\",\n \"count\": \"25\",\n \"distribution\": \"2.0 %\",\n \"last_30_days_record\": {\n \"entity_created_within_the_last_30_days\": \"0\",\n \"status_compare_to_last_thirty_days\": \"monthly-increase\",\n \"percentage_compare_to_last_thirty_days\": \"+ 0 % \"\n }\n },\n \"type_idea_entity\": {\n \"label\": \"Idea\",\n \"count\": \"69\",\n \"distribution\": \"5.4 %\",\n \"last_30_days_record\": {\n \"entity_created_within_the_last_30_days\": \"1\",\n \"status_compare_to_last_thirty_days\": \"monthly-increase\",\n \"percentage_compare_to_last_thirty_days\": \"0 % \"\n }\n },\n \"itonics_campaign_tr3\": {\n \"label\": \"Campaign\",\n \"count\": \"30\",\n \"distribution\": \"2.4 %\",\n \"last_30_days_record\": {\n \"entity_created_within_the_last_30_days\": \"4\",\n \"status_compare_to_last_thirty_days\": \"monthly-increase\",\n \"percentage_compare_to_last_thirty_days\": \"+ 300 % \"\n }\n },\n \"itonics_innovation_project_tr3\": {\n \"label\": \"Innovation Project\",\n \"count\": \"49\",\n \"distribution\": \"3.9 %\",\n \"last_30_days_record\": {\n \"entity_created_within_the_last_30_days\": \"1\",\n \"status_compare_to_last_thirty_days\": \"monthly-decrease\",\n \"percentage_compare_to_last_thirty_days\": \"- 66.67 % \"\n }\n },\n \"type_miscellaneous\": {\n \"label\": \"Miscellaneous\",\n \"count\": \"289\",\n \"distribution\": \"22.8 %\",\n \"last_30_days_record\": {\n \"entity_created_within_the_last_30_days\": \"0\",\n \"status_compare_to_last_thirty_days\": \"monthly-decrease\",\n \"percentage_compare_to_last_thirty_days\": \"- 100 % \"\n }\n },\n \"itonics_idea\": {\n \"label\": \"Campaign Submission\",\n \"count\": \"199\",\n \"distribution\": \"15.7 %\",\n \"last_30_days_record\": {\n \"entity_created_within_the_last_30_days\": \"5\",\n \"status_compare_to_last_thirty_days\": \"monthly-increase\",\n \"percentage_compare_to_last_thirty_days\": \"0 % \"\n }\n },\n \"itonics_roadmap_tr3\": {\n \"label\": \"Roadmap\",\n \"count\": \"8\",\n \"distribution\": \"0.6 %\",\n \"last_30_days_record\": {\n \"entity_created_within_the_last_30_days\": \"0\",\n \"status_compare_to_last_thirty_days\": \"monthly-increase\",\n \"percentage_compare_to_last_thirty_days\": \"+ 0 % \"\n }\n }\n}"}],"_postman_id":"4e57989a-1678-4b0d-a229-d70d451d276e"},{"name":"General statistics","id":"f3be5777-fe38-4fdb-970a-fdb831b42a06","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/entity_stats/general_statistics.json","description":"

Returns aggregated element creation counts for a given date range (default: last 365 days) for every entity type.

\n","urlObject":{"path":["api","entity_stats","general_statistics.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"db4e9f66-7b1e-4007-a937-3e19b773b10a","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/entity_stats/general_statistics.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n \"2025-02-19\": {\n \"itonics_trend\": \"1\",\n \"type_voice_of_customer_voc_\": \"3\",\n \"itonics_inspiration_tr3\": \"1\",\n \"type_miscellaneous\": \"3\"\n },\n \"2025-02-24\": {\n \"itonics_trend\": \"1\"\n },\n \"2025-03-20\": {\n \"itonics_trend\": \"1\",\n \"itonics_idea\": \"9\"\n },\n \"2025-04-08\": {\n \"itonics_trend\": \"1\",\n \"type_technology_application\": \"5\",\n \"itonics_idea\": \"2\"\n },\n \"2025-04-29\": {\n \"itonics_trend\": \"1\",\n \"type_technology_application\": \"5\",\n \"itonics_inspiration_tr3\": \"2\",\n \"itonics_idea\": \"5\"\n },\n \"2025-06-23\": {\n \"itonics_trend\": \"1\",\n \"itonics_technology_tr3\": \"1\",\n \"itonics_inspiration_tr3\": \"1\"\n },\n \"2025-07-23\": {\n \"itonics_trend\": \"1\",\n \"type_miscellaneous\": \"1\"\n },\n \"2025-10-06\": {\n \"itonics_trend\": \"1\"\n },\n \"2025-10-14\": {\n \"itonics_trend\": \"1\"\n },\n \"2024-11-14\": {\n \"itonics_technology_tr3\": \"6\",\n \"itonics_opportunityspace_tr3\": \"1\",\n \"itonics_innovation_project_tr3\": \"3\",\n \"itonics_roadmap_tr3\": \"1\"\n },\n \"2024-12-02\": {\n \"itonics_technology_tr3\": \"3\",\n \"itonics_opportunityspace_tr3\": \"1\",\n \"type_idea_entity\": \"1\",\n \"itonics_innovation_project_tr3\": \"1\"\n },\n \"2025-02-14\": {\n \"itonics_technology_tr3\": \"20\",\n \"type_startup\": \"1\",\n \"type_idea_entity\": \"1\"\n },\n \"2025-03-03\": {\n \"itonics_technology_tr3\": \"1\",\n \"type_technology_application\": \"10\",\n \"itonics_company_tr3\": \"1\",\n \"itonics_inspiration_tr3\": \"1\",\n \"type_miscellaneous\": \"1\"\n },\n \"2025-03-13\": {\n \"itonics_technology_tr3\": \"1\",\n \"type_technology_application\": \"1\",\n \"type_startup\": \"1\",\n \"itonics_innovation_project_tr3\": \"2\"\n },\n \"2025-06-19\": {\n \"itonics_technology_tr3\": \"3\",\n \"itonics_idea\": \"3\"\n },\n \"2025-06-20\": {\n \"itonics_technology_tr3\": \"1\"\n },\n \"2025-07-25\": {\n \"itonics_technology_tr3\": \"7\",\n \"type_startup\": \"9\",\n \"itonics_innovation_project_tr3\": \"4\"\n },\n \"2025-08-07\": {\n \"itonics_technology_tr3\": \"3\",\n \"itonics_opportunityspace_tr3\": \"1\",\n \"type_idea_entity\": \"5\",\n \"itonics_campaign_tr3\": \"1\",\n \"itonics_innovation_project_tr3\": \"2\",\n \"itonics_idea\": \"6\"\n },\n \"2025-08-14\": {\n \"itonics_technology_tr3\": \"3\",\n \"type_startup\": \"3\",\n \"itonics_opportunityspace_tr3\": \"1\"\n },\n \"2025-09-09\": {\n \"itonics_technology_tr3\": \"1\",\n \"itonics_innovation_project_tr3\": \"1\",\n \"itonics_idea\": \"5\"\n },\n \"2025-01-24\": {\n \"type_technology_application\": \"1\"\n },\n \"2025-02-05\": {\n \"type_technology_application\": \"5\",\n \"type_miscellaneous\": \"4\",\n \"itonics_idea\": \"3\"\n },\n \"2025-02-21\": {\n \"type_technology_application\": \"5\"\n },\n \"2025-03-25\": {\n \"type_technology_application\": \"5\",\n \"itonics_idea\": \"5\"\n },\n \"2025-07-24\": {\n \"type_technology_application\": \"5\"\n },\n \"2024-11-13\": {\n \"type_startup\": \"2\",\n \"itonics_inspiration_tr3\": \"1\"\n },\n \"2025-01-09\": {\n \"type_startup\": \"1\"\n },\n \"2025-02-03\": {\n \"type_startup\": \"1\",\n \"type_idea_entity\": \"1\",\n \"type_miscellaneous\": \"2\"\n },\n \"2025-02-07\": {\n \"type_startup\": \"1\"\n },\n \"2025-04-30\": {\n \"type_startup\": \"1\"\n },\n \"2025-05-05\": {\n \"type_startup\": \"1\",\n \"type_idea_entity\": \"1\"\n },\n \"2025-07-28\": {\n \"type_startup\": \"1\",\n \"itonics_company_tr3\": \"1\",\n \"itonics_inspiration_tr3\": \"1\",\n \"itonics_roadmap_tr3\": \"1\"\n },\n \"2025-08-19\": {\n \"type_startup\": \"2\",\n \"type_miscellaneous\": \"1\"\n },\n \"2025-08-29\": {\n \"type_startup\": \"1\",\n \"itonics_idea\": \"5\"\n },\n \"2025-09-25\": {\n \"type_startup\": \"1\",\n \"itonics_inspiration_tr3\": \"1\",\n \"itonics_campaign_tr3\": \"1\",\n \"itonics_idea\": \"5\"\n },\n \"2025-10-28\": {\n \"type_startup\": \"1\"\n },\n \"2025-01-30\": {\n \"itonics_company_tr3\": \"1\"\n },\n \"2025-02-04\": {\n \"itonics_company_tr3\": \"1\",\n \"type_miscellaneous\": \"2\",\n \"itonics_idea\": \"1\"\n },\n \"2025-04-15\": {\n \"itonics_company_tr3\": \"1\"\n },\n \"2025-05-12\": {\n \"itonics_company_tr3\": \"3\",\n \"itonics_inspiration_tr3\": \"1\",\n \"type_miscellaneous\": \"3\"\n },\n \"2025-06-02\": {\n \"itonics_company_tr3\": \"1\",\n \"itonics_inspiration_tr3\": \"1\",\n \"itonics_idea\": \"5\"\n },\n \"2024-11-12\": {\n \"type_voice_of_customer_voc_\": \"2\",\n \"type_miscellaneous\": \"2\"\n },\n \"2024-12-03\": {\n \"type_voice_of_customer_voc_\": \"1\",\n \"itonics_opportunityspace_tr3\": \"1\",\n \"type_idea_entity\": \"2\"\n },\n \"2025-03-26\": {\n \"type_voice_of_customer_voc_\": \"1\",\n \"type_idea_entity\": \"1\"\n },\n \"2024-11-19\": {\n \"itonics_inspiration_tr3\": \"1\"\n },\n \"2024-11-25\": {\n \"itonics_inspiration_tr3\": \"1\"\n },\n \"2024-11-28\": {\n \"itonics_inspiration_tr3\": \"1\"\n },\n \"2024-12-16\": {\n \"itonics_inspiration_tr3\": \"1\",\n \"itonics_innovation_project_tr3\": \"1\"\n },\n \"2025-01-22\": {\n \"itonics_inspiration_tr3\": \"1\",\n \"type_idea_entity\": \"1\"\n },\n \"2025-02-12\": {\n \"itonics_inspiration_tr3\": \"1\"\n },\n \"2025-04-03\": {\n \"itonics_inspiration_tr3\": \"1\",\n \"type_miscellaneous\": \"2\"\n },\n \"2025-04-11\": {\n \"itonics_inspiration_tr3\": \"2\"\n },\n \"2025-05-16\": {\n \"itonics_inspiration_tr3\": \"1\"\n },\n \"2025-05-19\": {\n \"itonics_inspiration_tr3\": \"1\"\n },\n \"2025-05-23\": {\n \"itonics_inspiration_tr3\": \"2\"\n },\n \"2025-05-26\": {\n \"itonics_inspiration_tr3\": \"1\"\n },\n \"2025-05-27\": {\n \"itonics_inspiration_tr3\": \"1\",\n \"itonics_idea\": \"5\"\n },\n \"2025-06-04\": {\n \"itonics_inspiration_tr3\": \"1\"\n },\n \"2025-06-05\": {\n \"itonics_inspiration_tr3\": \"1\"\n },\n \"2025-08-21\": {\n \"itonics_inspiration_tr3\": \"2\"\n },\n \"2025-09-10\": {\n \"itonics_inspiration_tr3\": \"1\"\n },\n \"2025-09-15\": {\n \"itonics_inspiration_tr3\": \"1\",\n \"type_idea_entity\": \"1\",\n \"itonics_innovation_project_tr3\": \"1\"\n },\n \"2025-10-13\": {\n \"itonics_inspiration_tr3\": \"1\"\n },\n \"2025-10-15\": {\n \"itonics_inspiration_tr3\": \"1\"\n },\n \"2025-03-17\": {\n \"itonics_opportunityspace_tr3\": \"1\"\n },\n \"2025-07-27\": {\n \"itonics_opportunityspace_tr3\": \"1\"\n },\n \"2025-02-11\": {\n \"type_idea_entity\": \"1\",\n \"type_miscellaneous\": \"3\",\n \"itonics_idea\": \"4\"\n },\n \"2025-02-18\": {\n \"type_idea_entity\": \"1\",\n \"itonics_innovation_project_tr3\": \"1\"\n },\n \"2025-02-27\": {\n \"type_idea_entity\": \"3\",\n \"itonics_idea\": \"4\"\n },\n \"2025-03-18\": {\n \"type_idea_entity\": \"1\"\n },\n \"2025-03-27\": {\n \"type_idea_entity\": \"1\",\n \"itonics_campaign_tr3\": \"1\",\n \"itonics_idea\": \"5\"\n },\n \"2025-06-03\": {\n \"type_idea_entity\": \"1\",\n \"itonics_innovation_project_tr3\": \"1\"\n },\n \"2025-06-06\": {\n \"type_idea_entity\": \"1\"\n },\n \"2025-06-17\": {\n \"type_idea_entity\": \"1\",\n \"itonics_innovation_project_tr3\": \"1\"\n },\n \"2025-06-25\": {\n \"type_idea_entity\": \"1\"\n },\n \"2025-11-07\": {\n \"type_idea_entity\": \"1\"\n },\n \"2025-06-18\": {\n \"itonics_campaign_tr3\": \"1\",\n \"itonics_idea\": \"5\"\n },\n \"2025-08-15\": {\n \"itonics_campaign_tr3\": \"1\"\n },\n \"2025-11-10\": {\n \"itonics_campaign_tr3\": \"4\",\n \"itonics_idea\": \"5\"\n },\n \"2025-01-20\": {\n \"itonics_innovation_project_tr3\": \"1\"\n },\n \"2025-01-31\": {\n \"itonics_innovation_project_tr3\": \"1\"\n },\n \"2025-03-14\": {\n \"itonics_innovation_project_tr3\": \"1\",\n \"itonics_idea\": \"5\"\n },\n \"2025-04-01\": {\n \"itonics_innovation_project_tr3\": \"1\",\n \"type_miscellaneous\": \"7\"\n },\n \"2025-04-24\": {\n \"itonics_innovation_project_tr3\": \"1\"\n },\n \"2025-06-13\": {\n \"itonics_innovation_project_tr3\": \"1\"\n },\n \"2025-08-28\": {\n \"itonics_innovation_project_tr3\": \"1\"\n },\n \"2025-10-09\": {\n \"itonics_innovation_project_tr3\": \"1\"\n },\n \"2025-10-10\": {\n \"itonics_innovation_project_tr3\": \"1\"\n },\n \"2025-11-04\": {\n \"itonics_innovation_project_tr3\": \"1\"\n },\n \"2024-11-20\": {\n \"type_miscellaneous\": \"2\"\n },\n \"2024-12-04\": {\n \"type_miscellaneous\": \"4\"\n },\n \"2024-12-10\": {\n \"type_miscellaneous\": \"1\"\n },\n \"2025-01-14\": {\n \"type_miscellaneous\": \"1\"\n },\n \"2025-04-14\": {\n \"type_miscellaneous\": \"1\"\n },\n \"2025-04-16\": {\n \"type_miscellaneous\": \"1\"\n },\n \"2025-05-06\": {\n \"type_miscellaneous\": \"2\"\n },\n \"2025-05-21\": {\n \"type_miscellaneous\": \"1\"\n },\n \"2025-06-11\": {\n \"type_miscellaneous\": \"1\"\n },\n \"2025-06-12\": {\n \"type_miscellaneous\": \"2\"\n },\n \"2025-06-30\": {\n \"type_miscellaneous\": \"2\",\n \"itonics_idea\": \"5\"\n },\n \"2025-07-07\": {\n \"type_miscellaneous\": \"1\"\n },\n \"2025-08-20\": {\n \"type_miscellaneous\": \"2\"\n },\n \"2025-09-16\": {\n \"type_miscellaneous\": \"3\"\n },\n \"2025-01-23\": {\n \"itonics_idea\": \"2\"\n },\n \"2025-02-10\": {\n \"itonics_idea\": \"15\"\n },\n \"2025-02-20\": {\n \"itonics_idea\": \"5\"\n },\n \"2025-05-08\": {\n \"itonics_idea\": \"5\"\n },\n \"2025-05-28\": {\n \"itonics_idea\": \"5\"\n },\n \"2025-06-26\": {\n \"itonics_idea\": \"5\"\n }\n}"}],"_postman_id":"f3be5777-fe38-4fdb-970a-fdb831b42a06"},{"name":"Entity status","id":"9dae46cd-23d3-45d7-be90-469bce15c690","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/entity_stats/entity_status.json","description":"

Returns the total number of all elements in the status draft, review, published, and archive.

\n","urlObject":{"path":["api","entity_stats","entity_status.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"25b78330-2fac-4fa9-b0fc-a8e3c4b0d25f","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/entity_stats/entity_status.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n \"draft\": 184,\n \"published\": 803,\n \"archived\": 279,\n \"review\": 2\n}"}],"_postman_id":"9dae46cd-23d3-45d7-be90-469bce15c690"},{"name":"Activity rate","id":"630481e3-57bb-4094-9543-1c3ee0443653","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/entity_stats/activity_rate.json","description":"

Returns aggregated activity counts (Rate, Like, Follow, Comment, Relate) for a given date range (default: last 365 days).

\n","urlObject":{"path":["api","entity_stats","activity_rate.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"c6a75c27-e915-4a74-8b9a-1a6c88989432","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/entity_stats/activity_rate.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n \"2024-11-28\": {\n \"comment\": \"1\",\n \"relate\": \"1\"\n },\n \"2025-01-14\": {\n \"comment\": \"1\",\n \"follow\": \"1\",\n \"rate\": \"117\"\n },\n \"2025-01-22\": {\n \"comment\": \"3\",\n \"follow\": \"3\",\n \"relate\": \"1\",\n \"rate\": \"1\"\n },\n \"2025-01-23\": {\n \"comment\": \"1\"\n },\n \"2025-01-31\": {\n \"comment\": \"1\",\n \"follow\": \"2\",\n \"relate\": \"3\",\n \"rate\": \"2\"\n },\n \"2025-02-14\": {\n \"comment\": \"1\"\n },\n \"2025-02-18\": {\n \"comment\": \"1\",\n \"follow\": \"4\",\n \"like\": \"1\",\n \"relate\": \"1\"\n },\n \"2025-03-13\": {\n \"comment\": \"2\",\n \"follow\": \"5\",\n \"like\": \"2\",\n \"relate\": \"18\",\n \"rate\": \"39\"\n },\n \"2025-03-25\": {\n \"comment\": \"1\",\n \"relate\": \"5\"\n },\n \"2025-04-01\": {\n \"comment\": \"1\",\n \"follow\": \"14\",\n \"relate\": \"16\"\n },\n \"2025-04-10\": {\n \"comment\": \"2\",\n \"like\": \"1\"\n },\n \"2025-04-15\": {\n \"comment\": \"1\"\n },\n \"2025-04-24\": {\n \"comment\": \"1\",\n \"follow\": \"3\",\n \"relate\": \"5\"\n },\n \"2025-05-05\": {\n \"comment\": \"1\",\n \"follow\": \"2\",\n \"like\": \"1\",\n \"relate\": \"1\",\n \"rate\": \"1\"\n },\n \"2025-05-19\": {\n \"comment\": \"1\",\n \"follow\": \"3\",\n \"relate\": \"1\"\n },\n \"2025-05-23\": {\n \"comment\": \"2\",\n \"follow\": \"4\",\n \"like\": \"7\",\n \"relate\": \"23\",\n \"rate\": \"1\"\n },\n \"2025-06-04\": {\n \"comment\": \"1\",\n \"follow\": \"2\",\n \"relate\": \"71\",\n \"rate\": \"1\"\n },\n \"2025-06-09\": {\n \"comment\": \"1\",\n \"rate\": \"1\"\n },\n \"2025-06-13\": {\n \"comment\": \"1\",\n \"follow\": \"2\",\n \"relate\": \"9\"\n },\n \"2025-06-19\": {\n \"comment\": \"2\",\n \"follow\": \"2\",\n \"like\": \"1\",\n \"relate\": \"9\",\n \"rate\": \"5\"\n }\n}"}],"_postman_id":"630481e3-57bb-4094-9543-1c3ee0443653"},{"name":"API stats","event":[{"listen":"test","script":{"id":"3a646384-57bd-4e4b-890d-44fff71189f2","exec":[""],"type":"text/javascript","packages":{},"requests":{}}}],"id":"587df299-e198-4351-b504-de851b4459a6","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/api_stats.json","description":"

Returns the aggregated number of API requests for a given date range (default: last 365 days).

\n","urlObject":{"path":["api","api_stats.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"5b9f7c8c-0615-41e2-813b-6a7d1e73557f","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/api_stats.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/api_stats.json\",\n \"first\": \"{base_url}/api/api_stats.json?page=0\",\n \"last\": \"{base_url}/api/api_stats.json?page=0\",\n \"list\": [\n {\n \"total\": \"29\",\n \"date\": \"2025-11-12\"\n },\n {\n \"total\": \"4\",\n \"date\": \"2025-11-07\"\n },\n {\n \"total\": \"1\",\n \"date\": \"2025-10-30\"\n },\n {\n \"total\": \"2\",\n \"date\": \"2025-10-29\"\n },\n {\n \"total\": \"2\",\n \"date\": \"2025-10-28\"\n },\n {\n \"total\": \"9\",\n \"date\": \"2025-07-29\"\n },\n {\n \"total\": \"1\",\n \"date\": \"2025-06-25\"\n },\n {\n \"total\": \"1\",\n \"date\": \"2025-06-04\"\n },\n {\n \"total\": \"2\",\n \"date\": \"2025-05-14\"\n },\n {\n \"total\": \"1\",\n \"date\": \"2025-04-22\"\n },\n {\n \"total\": \"1\",\n \"date\": \"2024-10-24\"\n }\n ]\n} "}],"_postman_id":"587df299-e198-4351-b504-de851b4459a6"},{"name":"API count","event":[{"listen":"test","script":{"id":"e651ca17-0c70-479c-aef8-d583b25a7555","exec":[""],"type":"text/javascript","packages":{},"requests":{}}}],"id":"bc16af2e-03d9-4326-af18-3fbce0f0f5b4","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/api_stats/api_count.json","description":"

Returns the total number of API requests and the count for the current month.

\n","urlObject":{"path":["api","api_stats","api_count.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"f2011ffe-652e-4e3e-b58a-ab1076f1fdb0","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/api_stats/api_count.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n \"total\": \"30000\",\n \"current_month\": \"1001\"\n}"}],"_postman_id":"bc16af2e-03d9-4326-af18-3fbce0f0f5b4"}],"id":"4efc606d-e3df-4844-a6a8-0b32f6bb78cf","description":"

The following section lists all endpoints available for reading (retrieving) system statistics data from your ITONICS application via GET requests.

Returns a list of all users, including meta information, like user ID, username, email, login/access information, role information, basic user attributes, and custom user properties.

Use ?limit=25 for large datasets to prevent running into timeout errors.

\n","urlObject":{"path":["api","user.json"],"host":["{base_url}"],"query":[{"key":"page","value":"0"},{"key":"limit","value":"2"}],"variable":[]}},"response":[{"id":"b2386a6b-f334-475a-aa9c-a116075f08c5","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/user.json?page=0&limit=2","host":["{base_url}"],"path":["api","user.json"],"query":[{"key":"page","value":"0"},{"key":"limit","value":"2"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/user.json?limit=2&page=0\",\n \"first\": \"{base_url}/api/user.json?limit=2&page=0\",\n \"last\": \"{base_url}/api/user.json?limit=2&page=67\",\n \"next\": \"{base_url}/api/user.json?limit=2&page=1\",\n \"list\": [\n {\n \"uid\": 19,\n \"uuid\": \"string\",\n \"username\": \"john.doe\",\n \"mail\": \"john.doe@itonics.com\",\n \"first_name\": \"John\",\n \"last_name\": \"Doe\",\n \"tos_accepted\": \"Yes\",\n \"first_login\": \"2025-10-27\",\n \"profile_image\": \"string\",\n \"status\": \"Active\",\n \"user_roles\": {\n \"application_owner\": \"Application Owner\"\n },\n \"last_edit_date\": \"2025-09-22 10:53:15\",\n \"last_access\": \"2025-10-29 20:14:43\",\n \"last_login\": \"2025-10-27 14:22:40\",\n \"field_is_anonymous\": \"No\",\n \"field_regulatory_instance\": null,\n \"user_company\": \"ITONICS GmbH\",\n \"job_title\": \"Admin\",\n \"user_organizational_unit\": {\n \"1\": \"IT\",\n \"4\": \"R&D\"\n },\n \"user_region\": null,\n \"user_interest_tags\": \"ai;sustainability;low code\",\n \"field_area_of_expertise\": {\n \"465\": \"Artificial Intelligence\",\n \"466\": \"Product Development\",\n \"467\": \"Copywriting\",\n \"468\": \"Software Engineering\",\n \"469\": \"System Architecture\",\n \"470\": \"Drive Systems\"\n },\n \"user_about\": null,\n \"field_linkedin\": null,\n \"user_phone\": null\n },\n {\n \"uid\": 27,\n \"uuid\": \"string\",\n \"username\": \"Jane Innovation\",\n \"mail\": \"jane.innovation@itonics.de\",\n \"first_name\": \"Jane\",\n \"last_name\": \"Innovation\",\n \"tos_accepted\": \"No\",\n \"first_login\": \"2022-09-26\",\n \"profile_image\": null,\n \"status\": \"Active\",\n \"user_roles\": {\n \"application_owner\": \"Application Owner\"\n },\n \"last_edit_date\": \"2022-09-26 16:31:51\",\n \"last_access\": \"2022-09-26 16:31:30\",\n \"last_login\": \"2022-09-26 16:27:43\",\n \"field_is_anonymous\": \"No\",\n \"field_regulatory_instance\": null,\n \"user_company\": \"ITONICS GmbH\",\n \"job_title\": \"Lead Researcher\",\n \"user_organizational_unit\": {\n \"7\": \"R&D\"\n },\n \"user_region\": {\n \"3\": \"Western Europe\"\n },\n \"user_interest_tags\": \"health care;healthcare & pharmaceutical;health care industry;health economics;predictive healthcare;cardiovascular health\",\n \"field_area_of_expertise\": null,\n \"user_about\": \"Hi I am Jane! \\r\\n\\r\\nI am a Lead Researcher at ITONICS Innovation and responsible for the scouting and assessment of the newest Technologies and trends.\\r\\n\",\n \"field_linkedin\": null,\n \"user_phone\": null\n }\n ]\n}"}],"_postman_id":"3bbd6617-39f7-48c4-b7c3-01561502fa46"},{"name":"Single user","id":"dc6ae986-130d-4836-a3fd-09adc438160d","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/user/{user_id}.json","description":"

Returns all meta information (refer to prior endpoint) for a specific user matching the URI {id}.

\n","urlObject":{"path":["api","user","{user_id}.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"73e59d8d-f24e-4527-8dd4-f74f5e92636f","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/user/27.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n \"uid\": 27,\n \"uuid\": \"string\",\n \"username\": \"Jane Innovation\",\n \"mail\": \"jane.innovation@itonics.de\",\n \"first_name\": \"Jane\",\n \"last_name\": \"Innovation\",\n \"tos_accepted\": \"No\",\n \"first_login\": \"2022-09-26\",\n \"profile_image\": null,\n \"status\": \"Active\",\n \"user_roles\": {\n \"application_owner\": \"Application Owner\"\n },\n \"last_edit_date\": \"2022-09-26 16:31:51\",\n \"last_access\": \"2022-09-26 16:31:30\",\n \"last_login\": \"2022-09-26 16:27:43\",\n \"field_is_anonymous\": \"No\",\n \"field_regulatory_instance\": null,\n \"user_company\": \"ITONICS GmbH\",\n \"job_title\": \"Lead Researcher\",\n \"user_organizational_unit\": {\n \"7\": \"R&D\"\n },\n \"user_region\": {\n \"3\": \"Western Europe\"\n },\n \"user_interest_tags\": \"health care;healthcare & pharmaceutical;health care industry;health economics;predictive healthcare;cardiovascular health\",\n \"field_area_of_expertise\": null,\n \"user_about\": \"Hi I am Jane! \\r\\n\\r\\nI am a Lead Researcher at ITONICS Innovation and responsible for the scouting and assessment of the newest Technologies and trends.\\r\\n\",\n \"field_linkedin\": null,\n \"user_phone\": null\n}"}],"_postman_id":"dc6ae986-130d-4836-a3fd-09adc438160d"},{"name":"User data based on filter","id":"5536a943-4000-4738-afb3-301c371a8e68","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/user.json?lastname={string}&firstname={string}","description":"

Returns only user data for which the firstname or lastname matches with the sent filter query.

\n","urlObject":{"path":["api","user.json"],"host":["{base_url}"],"query":[{"key":"lastname","value":"{string}"},{"key":"firstname","value":"{string}"}],"variable":[]}},"response":[{"id":"ad6c7539-77b8-4237-bb33-c82587125b9d","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/user.json?lastname=innovation&firstname=jane","host":["{base_url}"],"path":["api","user.json"],"query":[{"key":"lastname","value":"innovation"},{"key":"firstname","value":"jane"}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Thu, 28 Aug 2025 12:38:02 GMT"},{"key":"Content-Type","value":"application/json","description":"","type":"text"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Connection","value":"keep-alive"},{"key":"Server","value":""},{"key":"Expires","value":"Sun, 19 Nov 1978 05:00:00 GMT"},{"key":"Cache-Control","value":"no-cache, no-store, must-revalidate"},{"key":"pragma","value":"no-cache"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"Content-Security-Policy","value":"default-src 'none'; base-uri 'self'; child-src 'self'; font-src 'self' http: https: data:; form-action 'self' http: https:; img-src * data: blob:; media-src 'self'; manifest-src 'self'; object-src 'none'; frame-src 'self' https://miro.com https://vimeo.com https://forms.office.com https://www.surveymonkey.com https://*.sharepoint.com https://sharepoint.com https://www.youtube.com https://www.youtube-nocookie.com; upgrade-insecure-requests; script-src 'self' 'strict-dynamic' 'nonce-sF4enhEUmxve9I9JbbZtKwJ9' https: http:; connect-src 'self' maps.googleapis.com piwik.itonicsit.de; style-src * 'unsafe-inline'; worker-src 'self' blob:; sandbox allow-forms allow-scripts allow-same-origin allow-popups allow-downloads allow-modals allow-presentation allow-popups-to-escape-sandbox;"},{"key":"Referrer-Policy","value":"no-referrer, same-origin"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Permissions-Policy","value":"accelerometer=(), autoplay=(), camera=(), encrypted-media=(), fullscreen=(self), geolocation=(), microphone=(), midi=(), payment=(self), display-capture=()"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/user.json?lastname=innovation&firstname=jane\",\n \"first\": \"{base_url}/api/user.json?lastname=innovation&firstname=jane&page=0\",\n \"last\": \"{base_url}/api/user.json?lastname=innovation&firstname=jane&page=0\",\n \"list\": [\n {\n \"uid\": 27,\n \"uuid\": \"string\",\n \"username\": \"Jane Innovation\",\n \"mail\": \"jane.innovation@itonics.de\",\n \"first_name\": \"Jane\",\n \"last_name\": \"Innovation\",\n \"tos_accepted\": \"No\",\n \"first_login\": \"2022-09-26\",\n \"profile_image\": null,\n \"status\": \"Active\",\n \"user_roles\": {\n \"application_owner\": \"Application Owner\"\n },\n \"last_edit_date\": \"2022-09-26 16:31:51\",\n \"last_access\": \"2022-09-26 16:31:30\",\n \"last_login\": \"2022-09-26 16:27:43\",\n \"field_is_anonymous\": \"No\",\n \"field_regulatory_instance\": null,\n \"user_company\": \"ITONICS GmbH\",\n \"job_title\": \"Lead Researcher\",\n \"user_organizational_unit\": {\n \"7\": \"R&D\"\n },\n \"user_region\": {\n \"3\": \"Western Europe\"\n },\n \"user_interest_tags\": \"health care;healthcare & pharmaceutical;health care industry;health economics;predictive healthcare;cardiovascular health\",\n \"field_area_of_expertise\": null,\n \"user_about\": \"Hi I am Jane! \\r\\n\\r\\nI am a Lead Researcher at ITONICS Innovation and responsible for the scouting and assessment of the newest Technologies and trends.\\r\\n\",\n \"field_linkedin\": null,\n \"user_phone\": null\n }\n ]\n}"}],"_postman_id":"5536a943-4000-4738-afb3-301c371a8e68"}],"id":"0126cd37-89f7-4afd-9eb7-8ccbecdecfda","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"event":[{"listen":"prerequest","script":{"id":"6c385e33-8a0a-4300-97c5-8e3b4b559e1d","type":"text/javascript","packages":{},"requests":{},"exec":[""]}},{"listen":"test","script":{"id":"201c45ef-7768-4c19-b7c9-764e4df9650c","type":"text/javascript","packages":{},"requests":{},"exec":[""]}}],"_postman_id":"0126cd37-89f7-4afd-9eb7-8ccbecdecfda","description":""},{"name":"User field properties","item":[{"name":"User field properties","id":"71cb19a6-5dcd-47b6-ab7e-e2d23a9709b1","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{access_token}","type":"text"}],"url":"{base_url}/api/user_field_properties.json","description":"

Returns all attributes and their machine names, and custom user fields configured from the User Field Configuration.

\n","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":true,"source":{"_postman_id":"ef514434-4650-4d9f-958d-15a7a497df9e","id":"ef514434-4650-4d9f-958d-15a7a497df9e","name":"User field properties","type":"folder"}},"urlObject":{"path":["api","user_field_properties.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"23cb7ad1-b2c5-4839-8407-c176125c498e","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/user_field_properties.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/user_field_properties.json\",\n \"first\": \"{base_url}/api/user_field_properties.json?page=0\",\n \"last\": \"{base_url}/api/user_field_properties.json?page=0\",\n \"list\": {\n \"field_is_anonymous\": {\n \"label\": \"Anonymous\",\n \"type\": \"custom_single_checkbox\",\n \"required\": false,\n \"is_multiple\": false,\n \"options\": {\n \"0\": \"No\",\n \"1\": \"Yes\"\n },\n \"tooltip\": \"\"\n },\n \"field_regulatory_instance\": {\n \"label\": \"Regulatory Instance\",\n \"type\": \"searchable_field\",\n \"required\": false,\n \"is_multiple\": false,\n \"options\": {\n \"490\": \"EMEA\",\n \"491\": \"DACH\"\n },\n \"is_context_field\": true,\n \"tooltip\": \"\"\n },\n \"first_name\": {\n \"label\": \"First Name\",\n \"type\": \"custom_textfield\",\n \"required\": true,\n \"is_multiple\": false,\n \"tooltip\": \"\",\n \"isEmail\": false,\n \"isNumber\": false,\n \"isUrl\": false\n },\n \"last_name\": {\n \"label\": \"Last Name\",\n \"type\": \"custom_textfield\",\n \"required\": true,\n \"is_multiple\": false,\n \"tooltip\": \"\",\n \"isEmail\": false,\n \"isNumber\": false,\n \"isUrl\": false\n },\n \"profile_image\": {\n \"label\": \"Profile Image\",\n \"type\": \"imagefield\",\n \"required\": false,\n \"is_multiple\": false,\n \"tooltip\": \"Upload an Image. Best fits with square images (e.g. 200 x 200 px)\"\n },\n \"user_company\": {\n \"label\": \"Company\",\n \"type\": \"custom_textfield\",\n \"required\": false,\n \"is_multiple\": false,\n \"tooltip\": \"\",\n \"isEmail\": false,\n \"isNumber\": false,\n \"isUrl\": false\n },\n \"job_title\": {\n \"label\": \"Job Title\",\n \"type\": \"custom_textfield\",\n \"required\": false,\n \"is_multiple\": false,\n \"tooltip\": \"\",\n \"isEmail\": false,\n \"isNumber\": false,\n \"isUrl\": false\n },\n \"user_organizational_unit\": {\n \"label\": \"Business Unit\",\n \"type\": \"searchable_field\",\n \"required\": true,\n \"is_multiple\": true,\n \"options\": {\n \"1\": \"IT\",\n \"2\": \"Manufacturing\",\n \"3\": \"Sales\",\n \"4\": \"Finance\",\n \"5\": \"HR\",\n \"6\": \"Marketing\",\n \"7\": \"R&D\"\n },\n \"is_context_field\": true,\n \"tooltip\": \"\"\n },\n \"user_region\": {\n \"label\": \"Region\",\n \"type\": \"searchable_field\",\n \"required\": false,\n \"is_multiple\": false,\n \"tooltip\": \"\",\n \"options\": {\n \"2\": \"Southeast Asia\",\n \"3\": \"Western Europe\",\n \"4\": \"Eastern Europe\",\n \"5\": \"North America\",\n \"6\": \"Central and South America\",\n \"7\": \"Sub-Saharan Africa\",\n \"9\": \"Oceania\",\n \"10\": \"Middle East\",\n \"11\": \"East Asia\",\n \"12\": \"South Asia\",\n \"13\": \"Central Asia\",\n \"14\": \"Western Asia\",\n \"16\": \"North Africa\"\n },\n \"is_context_field\": false\n },\n \"user_interest_tags\": {\n \"label\": \"Interest\",\n \"type\": \"social_tag_tr3\",\n \"required\": false,\n \"is_multiple\": false,\n \"tooltip\": \"\"\n },\n \"field_area_of_expertise\": {\n \"label\": \"Area of Expertise\",\n \"type\": \"searchable_field\",\n \"required\": true,\n \"is_multiple\": true,\n \"options\": {\n \"465\": \"Artificial Intelligence\",\n \"466\": \"Product Development\",\n \"467\": \"Copywriting\",\n \"468\": \"Software Engineering\",\n \"469\": \"System Architecture\",\n \"470\": \"Drive Systems\"\n },\n \"is_context_field\": true,\n \"tooltip\": \"\"\n },\n \"user_about\": {\n \"label\": \"About\",\n \"type\": \"custom_textarea\",\n \"required\": false,\n \"is_multiple\": false,\n \"tooltip\": \"\"\n },\n \"field_linkedin\": {\n \"label\": \"LinkedIn\",\n \"type\": \"custom_textfield\",\n \"required\": false,\n \"is_multiple\": false,\n \"tooltip\": \"Please add your LinkedIn profile link.\",\n \"isEmail\": false,\n \"isNumber\": false,\n \"isUrl\": true\n },\n \"user_phone\": {\n \"label\": \"Phone Number\",\n \"type\": \"custom_textfield\",\n \"required\": false,\n \"is_multiple\": false,\n \"tooltip\": \"\",\n \"isEmail\": false,\n \"isNumber\": true,\n \"isUrl\": false\n }\n }\n}"}],"_postman_id":"71cb19a6-5dcd-47b6-ab7e-e2d23a9709b1"}],"id":"ef514434-4650-4d9f-958d-15a7a497df9e","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"event":[{"listen":"prerequest","script":{"id":"b5bbedc6-8f65-47aa-9967-11b46c99d4ba","type":"text/javascript","packages":{},"requests":{},"exec":[""]}},{"listen":"test","script":{"id":"985f6b75-f5e7-4803-b99c-e0f165b04b9b","type":"text/javascript","packages":{},"requests":{},"exec":[""]}}],"_postman_id":"ef514434-4650-4d9f-958d-15a7a497df9e","description":""},{"name":"User statistics","item":[{"name":"User roles","event":[{"listen":"test","script":{"id":"b1b5aa80-41be-4ed4-99a8-819973e3bd38","exec":[""],"type":"text/javascript","packages":{},"requests":{}}}],"id":"597d1617-c01d-4598-ae64-dea1f32fa7f5","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/user_stats/user_roles.json","description":"

Returns a list of all configured user roles (and their _role_id_), total number of assigned users, and the percentage of user distribution across all the roles.

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Returns aggregated number of (unique) logins for a given date range (default: last 365 days).

\n","urlObject":{"path":["api","user_stats","login_rate.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"6581b798-3c73-4841-9bf9-45724a3d6928","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/user_stats/login_rate.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"2025-11-03\": {\n \"logins\": \"7\",\n \"unique_login\": \"7\"\n },\n \"2025-11-04\": {\n \"logins\": \"3\",\n \"unique_login\": \"3\"\n },\n \"2025-11-05\": {\n \"logins\": \"8\",\n \"unique_login\": \"8\"\n },\n \"2025-11-06\": {\n \"logins\": \"2\",\n \"unique_login\": \"2\"\n },\n \"2025-11-07\": {\n \"logins\": \"5\",\n \"unique_login\": \"5\"\n },\n \"2025-11-08\": {\n \"logins\": \"1\",\n \"unique_login\": \"1\"\n },\n \"2025-11-10\": {\n \"logins\": \"17\",\n \"unique_login\": \"15\"\n },\n \"2025-11-11\": {\n \"logins\": \"4\",\n \"unique_login\": \"4\"\n },\n \"2025-11-12\": {\n \"logins\": \"8\",\n \"unique_login\": \"8\"\n }\n}"}],"_postman_id":"67bd3720-cd81-4f0d-bec0-6f6aea1fb7d0"},{"name":"Users logins with date filter","event":[{"listen":"test","script":{"id":"671884f3-f6b0-462b-9f5d-0417ecf38000","exec":[""],"type":"text/javascript","packages":{},"requests":{}}}],"id":"87911394-d8ab-4d30-8535-5916d200b489","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/user_stats.json?type=unique_login_data&range=days&from_date={mm/dd/yyyy}&to_date={mm/dd/yyyy}","description":"

Returns the users who logged in within the provided date range provided by the filter query.

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Returns various metrics, providing current totals and percentage comparison against the previous 30-day period.

\n","urlObject":{"path":["api","user_stats","active_users.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"35ec2a16-d1d3-4fa0-a7bd-42e1f9e51a81","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/user_stats/active_users.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"total\": 135,\n \"unique_login_within_the_last_30_days\": \"41\",\n \"status_compare_to_last_thirty_days\": \"monthly-increase\",\n \"percentage_compare_to_last_thirty_days\": \"+ 17.14 % \"\n}"}],"_postman_id":"abf3b819-ee8b-48d4-a7c1-cfbc070e299c"},{"name":"Total users","event":[{"listen":"test","script":{"id":"1d4b9c37-f341-4408-9e78-0e0ed5754e47","exec":[""],"type":"text/javascript","packages":{},"requests":{}}}],"id":"136f4a6e-542a-4757-b897-7af16e549514","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/user_stats/total_users.json","description":"

Returns the overall total user count (total) plus metrics comparing the last 30 days to the preceding period.

\n","urlObject":{"path":["api","user_stats","total_users.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"35865709-02b0-453a-a175-2f06e14ba814","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/user_stats/total_users.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"total\": 138,\n \"total_user_within_the_last_30_days\": \"38\",\n \"status_compare_to_last_thirty_days\": \"monthly-increase\",\n \"percentage_compare_to_last_thirty_days\": \"+ 533.33 % \"\n}"}],"_postman_id":"136f4a6e-542a-4757-b897-7af16e549514"},{"name":"Total number registered user","event":[{"listen":"test","script":{"id":"d4ea6421-5078-45e4-adbd-737ffa3c33c4","exec":[""],"type":"text/javascript","packages":{},"requests":{}}}],"id":"f26cf7f2-791b-4735-8346-21a62ad8054d","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/user_stats/total_number_user.json","description":"

Returns the total count of registered users as a numerical value.

\n","urlObject":{"path":["api","user_stats","total_number_user.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"e2981509-bfec-4992-8b32-e20c1cb2ed6a","name":"Total number registered user","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/user_stats/total_number_user.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n \"total_number_user\": 138\n}"}],"_postman_id":"f26cf7f2-791b-4735-8346-21a62ad8054d"},{"name":"Contributing users","event":[{"listen":"test","script":{"id":"8047811c-a59d-4214-8d3c-2f70423dbb6a","exec":[""],"type":"text/javascript","packages":{},"requests":{}}}],"id":"4060349d-e3e5-47f2-aba4-74018c8ad736","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/user_stats/contributing_users.json","description":"

Returns count of all users having rated, commented, created, or edited an element at least once.

\n","urlObject":{"path":["api","user_stats","contributing_users.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"1275c1be-a80e-4e36-8e46-35d393d1f848","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/user_stats/contributing_users.json"},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"contributing_users_count\": \"58\"\n}"}],"_postman_id":"4060349d-e3e5-47f2-aba4-74018c8ad736"},{"name":"Successful user logins","id":"3af3d06c-e22d-4bdc-84e0-baa292398667","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}{","type":"text"}],"url":"{base_url}/api/user_stats.json?type=auth_log_success","description":"

Returns the successful user logins (raw authentication events, non-aggregated).

Note: Tracked for up to 365 days (intentional to avoid excessive data volume while ensuring reporting on the last 365d period).

\n","urlObject":{"path":["api","user_stats.json"],"host":["{base_url}"],"query":[{"key":"type","value":"auth_log_success"}],"variable":[]}},"response":[{"id":"97f12ce3-e14e-4c47-af40-805b8fd4ad0c","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/user_stats.json?type=auth_log_success&sort=login_date&from_date=2026-03-24&to_date=2026-03-24&limit=1","host":["{base_url}"],"path":["api","user_stats.json"],"query":[{"key":"type","value":"auth_log_success"},{"key":"sort","value":"login_date"},{"key":"from_date","value":"2026-03-24"},{"key":"to_date","value":"2026-03-24"},{"key":"limit","value":"1"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"uid\": 42,\n \"username\": \"john.doe\",\n \"first_name\": \"John\",\n \"last_name\": \"Doe\",\n \"email\": \"john@example.com\",\n \"login_date\": \"2025-03-15 09:12:44\",\n \"result\": \"success\"\n}"}],"_postman_id":"3af3d06c-e22d-4bdc-84e0-baa292398667"},{"name":"Failed user login attempts","id":"7e05a147-b462-4df1-b958-76f9c0f78c59","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}{","type":"text"}],"url":"{base_url}/api/user_stats.json?type=auth_log_failed","description":"

Returns the failed user login attempts (raw authentication events, non-aggregated).

Note: Tracked only from the time the new endpoint has been introduced; thus, historical failed attempts prior to deployment of the 3.24.0 version are not available.

\n","urlObject":{"path":["api","user_stats.json"],"host":["{base_url}"],"query":[{"key":"type","value":"auth_log_failed"}],"variable":[]}},"response":[{"id":"da5d43e7-ab15-4724-b9ff-450215469297","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/user_stats.json?type=auth_log_failed&from_date=2025-01-02&to_date=2026-03-01","host":["{base_url}"],"path":["api","user_stats.json"],"query":[{"key":"type","value":"auth_log_failed"},{"key":"from_date","value":"2025-01-02"},{"key":"to_date","value":"2026-03-01"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"attempted_username\": \"john.doe\",\n \"ip_address\": \"192.168.1.100\",\n \"login_date\": \"2025-03-15 09:11:03\",\n \"result\": \"failed\"\n}"}],"_postman_id":"7e05a147-b462-4df1-b958-76f9c0f78c59"}],"id":"05d13eb3-0fa4-4902-85db-ea02a122e80e","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"event":[{"listen":"prerequest","script":{"id":"36e65ec0-b580-4d49-8265-613b74d48d0d","type":"text/javascript","packages":{},"requests":{},"exec":[""]}},{"listen":"test","script":{"id":"089a6874-80f7-44ba-88eb-a049aa2940de","type":"text/javascript","packages":{},"requests":{},"exec":[""]}}],"_postman_id":"05d13eb3-0fa4-4902-85db-ea02a122e80e","description":""}],"id":"cdc87cdd-1d0d-436b-a444-f053f9206a88","description":"

The following section lists all endpoints available for reading (retrieving) user data from your ITONICS application via GET requests.

Returns only the defined limit of elements / users per page. The default limit is 100 results.

For structured data, like roadmaps, this limit is applied independently to each layer or sub-layer. If limit=2, only 2 elements will be displayed in the first page of each layer, but the full structural hierarchy is always preserved, including empty layers.

\n","urlObject":{"path":["api","{entity_type}.json"],"host":["{base_url}"],"query":[{"key":"limit","value":"10"}],"variable":[]}},"response":[{"id":"cdf281fc-b651-4666-a8db-b18e1f04fac4","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/itonics_trend.json?limit=1","host":["{base_url}"],"path":["api","itonics_trend.json"],"query":[{"key":"limit","value":"1"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/itonics_trend.json?limit=2&page=1\",\n \"first\": \"{base_url}/api/itonics_trend.json?limit=2&page=0\",\n \"last\": \"{base_url}/api/itonics_trend.json?limit=2&page=21\",\n \"prev\": \"{base_url}/api/itonics_trend.json?limit=2&page=0\",\n \"next\": \"{base_url}/api/itonics_trend.json?limit=2&page=2\",\n \"list\": [\n {\n \"id\": 72,\n \"generated_id\": \"TRE-142498-72\",\n \"tags\": \"data sustainability;big tech;google;amazon;cloud computing;data centers;environmental regulations;esg;tech companies\",\n \"header_image\": \"string\",\n \"created_at\": \"2025-07-23\",\n \"updated_at\": \"2025-07-23\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_trend\": [\n {\n \"entity_id\": 1,\n \"title\": \"Automating a Greener World\"\n },\n {\n \"entity_id\": 5,\n \"title\": \"Smart Cities\"\n }\n ],\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 21,\n \"title\": \"Energy Harvesting\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"last_review\": \"2025-10-29\",\n \"internal_experts_username\": \"john.doe,jane.innovation\",\n \"internal_experts_fullname\": \"John Doe, Jane Innovation\",\n \"trend_segment_hierarchy\": {\n \"trend_segment_hierarchy_entity_segment\": {\n \"2\": {\n \"label\": \"Technology\",\n \"parent\": \"0\"\n }\n },\n \"trend_segment_hierarchy_entity_sub_segment\": {\n \"131\": {\n \"label\": \"Rise of Artificial Intelligence\",\n \"parent\": \"2\"\n },\n \"134\": {\n \"label\": \"Rise of Data Analytics\",\n \"parent\": \"2\"\n }\n }\n },\n \"field_trend_maturity\": {\n \"field_trend_maturity_entity_segment\": {\n \"219\": {\n \"label\": \"Maturing\",\n \"parent\": \"0\"\n }\n }\n },\n \"internal_status\": {\n \"251\": \"2- Under evaluation\"\n },\n \"field_focus_trend\": {\n \"383\": \"Yes\"\n },\n \"field_trend_workflow\": {\n \"381\": \"Assess\"\n },\n \"field_my_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"field_expert_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"title\": \"Data Sustainability\",\n \"abstract\": \"Data Sustainability refers to growing awareness of the carbon footprint associated with storing and managing ever-growing quantities of data. As some of the biggest electricity users and carbon emitters in their big data supply chains, big tech companies such as Google and Amazon are incorporating Data Sustainability into their policies and practices. As cloud computing proliferates and more data centers are set up globally, Data Sustainability will become increasingly relevant as environmental, social, and governance (ESG) regulations tighten for tech companies.\",\n \"description\": \"

Used for pagination, specifying the data offset based on the limit. Returns an error if the requested page is empty.

Returns those x elements, where x is {limit} and the number of total elements of type {entity_type} is greater than {limit}. The returned data structure contains links to itself (self), the first page (first) and the last page (last). If your current page is not the last or the first one, the data structure will also generate links to the previous page (prev) and the next page (next). The requests are limited to 100 results per page.

For structured data, like roadmaps, pagination applies independently to each layer or sub-layer.

\n","urlObject":{"path":["api","{entity_type}.json"],"host":["{base_url}"],"query":[{"key":"page","value":"2"},{"key":"limit","value":"13"}],"variable":[]}},"response":[{"id":"a3516bdf-498a-4dbf-973c-502af9766fb0","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/itonics_trend.json?page=21&limit=1","host":["{base_url}"],"path":["api","itonics_trend.json"],"query":[{"key":"page","value":"21"},{"key":"limit","value":"1"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/itonics_trend.json?page=21&limit=1\",\n \"first\": \"{base_url}/api/itonics_trend.json?page=0&limit=1\",\n \"last\": \"{base_url}/api/itonics_trend.json?page=43&limit=1\",\n \"prev\": \"{base_url}/api/itonics_trend.json?page=20&limit=1\",\n \"next\": \"{base_url}/api/itonics_trend.json?page=22&limit=1\",\n \"list\": [\n {\n \"id\": 23,\n \"generated_id\": \"TRE-142498-23\",\n \"tags\": \"brand activism;brands taking a stand;corporate social responsibility;activist messaging;digital brand activism;purpose;energy;automotive;food & drinks\",\n \"header_image\": \"string\",\n \"created_at\": \"2022-09-23\",\n \"updated_at\": \"2024-04-18\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_trend\": [\n {\n \"entity_id\": 5,\n \"title\": \"Smart Cities\"\n }\n ],\n \"itonics_company_tr3\": [\n {\n \"entity_id\": 31,\n \"title\": \"adidas AG\"\n },\n {\n \"entity_id\": 39,\n \"title\": \"Nike Inc.\"\n }\n ],\n \"itonics_inspiration_tr3\": [\n {\n \"entity_id\": 212,\n \"title\": \"Mulberry pledges to end use Of exotic animal materials\"\n },\n {\n \"entity_id\": 213,\n \"title\": \"Burberry supports students with sustainable initiative\"\n },\n {\n \"entity_id\": 222,\n \"title\": \"Ralph Lauren pledges to run on 100% renewable energy by 2025\"\n },\n {\n \"entity_id\": 235,\n \"title\": \"Council Post: Activists Everywhere: A Guide To Doing Business In 2020\"\n }\n ],\n \"itonics_opportunityspace_tr3\": [\n {\n \"entity_id\": 3,\n \"title\": \"Energy Efficient Development\"\n },\n {\n \"entity_id\": 4,\n \"title\": \"Corporate Social Responsibility (CSR)\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"last_review\": null,\n \"internal_experts_username\": \"\",\n \"internal_experts_fullname\": \"\",\n \"trend_segment_hierarchy\": {\n \"trend_segment_hierarchy_entity_segment\": {\n \"1\": {\n \"label\": \"Society\",\n \"parent\": \"0\"\n },\n \"4\": {\n \"label\": \"Economy\",\n \"parent\": \"0\"\n }\n },\n \"trend_segment_hierarchy_entity_sub_segment\": {\n \"130\": {\n \"label\": \"Influence of Social Networks\",\n \"parent\": \"1\"\n },\n \"142\": {\n \"label\": \"New Consumer Behaviours\",\n \"parent\": \"4\"\n },\n \"143\": {\n \"label\": \"Customer Engagement\",\n \"parent\": \"4\"\n }\n }\n },\n \"field_trend_maturity\": {\n \"field_trend_maturity_entity_segment\": {\n \"218\": {\n \"label\": \"Evolving\",\n \"parent\": \"0\"\n }\n }\n },\n \"internal_status\": {\n \"255\": \"1- No internal activities\"\n },\n \"field_focus_trend\": {\n \"384\": \"No\"\n },\n \"field_trend_workflow\": {\n \"380\": \"Monitor\"\n },\n \"field_my_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"field_expert_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"title\": \"Brand Activism\",\n \"abstract\": \"Brand Activism refers to the phenomenon of businesses or high-profile individuals taking a stance on social or political issues. This trend can take on a variety of forms—from donating CSR funds to political organizations to creating social media campaigns focussing on social movements to amending a product offering to address a current socio-political issue. Expect to see greater investment in the alignment of strategic objectives with socio-political issues, as well as an increase in consumer scrutiny of the authenticity of Brand Activism initiatives.\",\n \"description\": \"

Forces Shaping the Future

Consumers increasingly expect brands to take a position on social and political issues and act. There is data demonstrating that brands play a significant role in influencing consumer ideologies. According to Dentsu, the number of Millennial consumers supporting brands taking a stand on pressing social issues has grown from 63 percent in June 2020 to 73 percent in February 2021. The past few years have seen brand campaigns center on LGBTQI+ issues, reproductive rights, mental health awareness, political regulations, climate change, and support for Black Lives Matter.

A Snapshot of the Future

Corporate activism is set to become the new norm and will greatly influence brand identities. University of Oregon researchers found that there are significant financial implications related to Brand Activism. When this stance is well-aligned with consumer values, next-year sales can surge by roughly 12 percent, while activism perceived as misaligned can reduce sales by over 4 percent. Brands no longer just refer to corporations—brands can be athletes, entertainers, and religious figures, many of whom will continue to drive the behavior of millions of followers.

Implications for Innovation

Brands need to walk the tightrope of authenticity and avoid “woke washing”—a form of virtue signaling in which public-facing communication is pro-change but internal policies, processes, and culture remain unchanged or toxic.
Working closely with the communities most affected by a particular social or political issue is imperative as consumers become more skeptical of brand motives.
Embodying these values in the long term will be crucial, and action cannot be restricted to lip service and social media posts.
Investigating one’s value chain and investment into diversity, equity, and inclusion (DEI) efforts internally all form part of authentic Brand Activism.

The Way Forward

Accenture reports that “narratives and truth” will be front and center for the future of corporate activism. Brands will need to narrow their focus to select key areas to interweave activism with business objectives authentically. “Purchase politics” will play an important role in the future of authentic Brand Activism. Purchase politics involves creating products that stand in solidarity with marginalized groups. It also ensures that those groups are meaningfully represented in the creative leadership and design of products and services. This also requires that functional and financial benefits flow back into these communities. In the past, activism used to be a choice for brands. Now, it is quickly becoming a necessity, and this trend is set to grow more.

\",\n \"number_of_followers\": 2,\n \"followers\": [\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"John Doe\",\n \"username\": \"john.doe\"\n },\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"Jane Innovation\",\n \"username\": \"jane.innovation\"\n }\n ],\n \"number_of_likes\": 1,\n \"liked_by\": [\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"John Doe\",\n \"username\": \"john.doe\"\n }\n ],\n \"number_of_comments\": 0,\n \"number_of_shares\": 0,\n \"number_of_views\": 24,\n \"attachments\": [],\n \"rating_info\": {\n \"number_ratings_active\": \"27\",\n \"number_ratings_inactive\": \"7\",\n \"rating_116_recommended_action\": {\n \"criteria_name\": \"Recommended Action\",\n \"average_string\": \"Explore\",\n \"average_decimal\": \"3.42\",\n \"users\": [\n \"39\",\n \"1\",\n \"29\",\n \"35\"\n ],\n \"rating_group\": \"Trend Rating\",\n \"rating_data\": [\n {\n \"user\": \"Alexander Kruczek\",\n \"user_context\": \"Sales\",\n \"rating_type\": \"group_trend_rating_group\",\n \"rating_value\": \"4.2777777777778\",\n \"rating_date\": \"2025-01-14\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"39\"\n },\n {\n \"user\": \"ITONICS Admin\",\n \"user_context\": \"IT\",\n \"rating_type\": \"group_trend_rating_group\",\n \"rating_value\": \"3.3333333333333\",\n \"rating_date\": \"2025-01-14\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"1\"\n },\n {\n \"user\": \"Kai Greisinger\",\n \"user_context\": \"Sales\",\n \"rating_type\": \"group_trend_rating_group\",\n \"rating_value\": \"2\",\n \"rating_date\": \"2025-01-14\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"29\"\n },\n {\n \"user\": null,\n \"user_context\": \"R&D\",\n \"rating_type\": \"group_trend_rating_group\",\n \"rating_value\": \"2.3333333333333\",\n \"rating_date\": \"2024-01-24\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"35\"\n },\n {\n \"user\": \"ITONICS Admin\",\n \"user_context\": \"IT\",\n \"rating_type\": \"group_trend_rating_group\",\n \"rating_value\": \"3.8333333333333\",\n \"rating_date\": \"2022-10-18\",\n \"comment\": \"\",\n \"status\": \"Inactive\",\n \"uid\": \"1\"\n }\n ]\n },\n \"trend_business_relevance\": {\n \"criteria_name\": \"Business Relevance\",\n \"average_string\": \"Medium\",\n \"average_decimal\": \"3.00\",\n \"users\": [\n \"1\",\n \"35\",\n \"39\"\n ],\n \"rating_group\": \"Trend Rating\",\n \"rating_data\": [\n {\n \"user\": \"ITONICS Admin\",\n \"user_context\": \"IT\",\n \"rating_type\": \"group_trend_rating_group\",\n \"rating_value\": \"3\",\n \"rating_date\": \"2023-03-09\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"1\"\n },\n {\n \"user\": \"Jane Innovation\",\n \"user_context\": \"R&D\",\n \"rating_type\": \"group_trend_rating_group\",\n \"rating_value\": \"2\",\n \"rating_date\": \"2022-10-18\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"35\"\n },\n {\n \"user\": \"John Doe\",\n \"user_context\": \"Sales\",\n \"rating_type\": \"group_trend_rating_group\",\n \"rating_value\": \"4\",\n \"rating_date\": \"2022-10-18\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"39\"\n },\n {\n \"user\": \"ITONICS Admin\",\n \"user_context\": \"IT\",\n \"rating_type\": \"group_trend_rating_group\",\n \"rating_value\": \"4\",\n \"rating_date\": \"2022-10-18\",\n \"comment\": \"\",\n \"status\": \"Inactive\",\n \"uid\": \"1\"\n }\n ]\n }\n }\n }\n ]\n}"}],"_postman_id":"979ad1b5-c81d-4f65-9ff7-3ebbe221f4a1"},{"name":"Sort control","id":"97d5b0ab-2041-43e0-b4c7-19becad56e68","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/{entity_type}.json?sort=ds_label","description":"

Defines the field used for ordering the results. Available options are: ds_created (default), ds_updated, or ds_label.

\n","urlObject":{"path":["api","{entity_type}.json"],"host":["{base_url}"],"query":[{"key":"sort","value":"ds_label"}],"variable":[]}},"response":[{"id":"95174b10-1ab2-4669-accd-021676421a13","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/itonics_trend.json?sort=ds_label","host":["{base_url}"],"path":["api","itonics_trend.json"],"query":[{"key":"sort","value":"ds_label"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/itonics_trend.json?sort=ds_label&limit=1\",\n \"first\": \"{base_url}/api/itonics_trend.json?sort=ds_label&limit=1&page=0\",\n \"last\": \"{base_url}/api/itonics_trend.json?sort=ds_label&limit=1&page=43\",\n \"next\": \"{base_url}/api/itonics_trend.json?sort=ds_label&limit=1&page=1\",\n \"list\": [\n {\n \"id\": 84,\n \"generated_id\": \"TRE-142498-84\",\n \"tags\": \"ucl;university college london;united kingdom;indus;seaweed-derived hydrogel;micro-algae;water purification;tile-based wall system;ir food & drinks;ir healthcare & pharmaceutical;ir chemicals & materials\",\n \"header_image\": null,\n \"created_at\": \"2025-10-14\",\n \"updated_at\": \"2025-10-14\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 3,\n \"title\": \"Water Treatment Technologies\"\n }\n ],\n \"itonics_innovation_project_tr3\": [\n {\n \"entity_id\": 63,\n \"title\": \"AI-Powered Voyage Emissions Optimizer\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"last_review\": null,\n \"internal_experts_username\": \"jane.innovation\",\n \"internal_experts_fullname\": \"Jane Innovation\",\n \"trend_segment_hierarchy\": {\n \"trend_segment_hierarchy_entity_segment\": null,\n \"trend_segment_hierarchy_entity_sub_segment\": null\n },\n \"field_trend_maturity\": {\n \"field_trend_maturity_entity_segment\": null\n },\n \"internal_status\": null,\n \"field_focus_trend\": null,\n \"field_trend_workflow\": {\n \"380\": \"Monitor\"\n },\n \"field_my_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"field_expert_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"title\": \"Algae tiles offer affordable purification of polluted water\",\n \"abstract\": \"A team of designers and biochemical engineers from University College London (UCL) developed a tile-based wall system that can filter toxic chemical dyes and heavy metals out of water. The project is based on bioremediation, which uses biological organisms (in this case algae) to help purify the water from contamination in a sustainable way. “Indus”, which mimics nature’s ability to distribute water, is composed of modular tile units with vein-like channels and inspired by the structure of leaves. The tiles contain a preparation of micro-algae suspended with a biological scaffold of a seaweed-derived hydrogel.\",\n \"description\": null,\n \"number_of_followers\": 0,\n \"followers\": null,\n \"number_of_likes\": 0,\n \"liked_by\": null,\n \"number_of_comments\": 0,\n \"number_of_shares\": 0,\n \"number_of_views\": 1,\n \"attachments\": [\n {\n \"path\": \"https://www.springwise.com/sustainability-innovation/architecture-design/indus-algae-wall-wastewater\",\n \"title\": \"www.springwise.com\"\n }\n ],\n \"rating_info\": {\n \"number_ratings_active\": 0,\n \"number_ratings_inactive\": 0\n }\n }\n ]\n}"}],"_postman_id":"97d5b0ab-2041-43e0-b4c7-19becad56e68"},{"name":"Direction control","id":"7612da40-924e-4409-a211-5dcb68fec9e6","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/{entity_type}.json?direction=DESC","urlObject":{"path":["api","{entity_type}.json"],"host":["{base_url}"],"query":[{"key":"direction","value":"DESC"}],"variable":[]}},"response":[{"id":"9d7a86bb-dbef-4a60-84d0-3d8496a55186","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/itonics_trend.json?direction=ASC&limit=2&page=4","host":["{base_url}"],"path":["api","itonics_trend.json"],"query":[{"key":"direction","value":"ASC"},{"key":"limit","value":"2"},{"key":"page","value":"4"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/itonics_trend.json?direction=ASC&limit=2&page=4\",\n \"first\": \"{base_url}/api/itonics_trend.json?direction=ASC&limit=2&page=0\",\n \"last\": \"{base_url}/api/itonics_trend.json?direction=ASC&limit=2&page=21\",\n \"prev\": \"{base_url}/api/itonics_trend.json?direction=ASC&limit=2&page=3\",\n \"next\": \"{base_url}/api/itonics_trend.json?direction=ASC&limit=2&page=5\",\n \"list\": [\n {\n \"id\": 62,\n \"generated_id\": \"TRE-142498-62\",\n \"tags\": \"data sustainability;carbon footprint;big tech;google;amazon;cloud computing;data centers;environmental regulations;esg;sustainable practices\",\n \"header_image\": \"string\",\n \"created_at\": \"2025-02-19\",\n \"updated_at\": \"2025-02-19\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_inspiration_tr3\": [\n {\n \"entity_id\": 400,\n \"title\": \"Agentic AI\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"last_review\": null,\n \"internal_experts_username\": \"\",\n \"internal_experts_fullname\": \"\",\n \"trend_segment_hierarchy\": {\n \"trend_segment_hierarchy_entity_segment\": null,\n \"trend_segment_hierarchy_entity_sub_segment\": null\n },\n \"field_trend_maturity\": {\n \"field_trend_maturity_entity_segment\": null\n },\n \"internal_status\": null,\n \"field_focus_trend\": null,\n \"field_trend_workflow\": {\n \"380\": \"Monitor\"\n },\n \"field_my_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"field_expert_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"title\": \"Data Sustainability\",\n \"abstract\": \"Data Sustainability refers to growing awareness of the carbon footprint associated with storing and managing ever-growing quantities of data. As some of the biggest electricity users and carbon emitters in their big data supply chains, big tech companies such as Google and Amazon are incorporating Data Sustainability into their policies and practices. As cloud computing proliferates and more data centers are set up globally, Data Sustainability will become increasingly relevant as environmental, social, and governance (ESG) regulations tighten for tech companies.\",\n \"description\": \"

Data Sustainability is becoming a crucial focus for engineers as the awareness of the carbon footprint linked to data storage and management grows. The Why behind this trend is the pressing need to address the environmental impact of the vast amounts of data being generated and processed. Engineers are at the forefront of designing and implementing solutions that reduce energy consumption and carbon emissions, which is essential as environmental, social, and governance (ESG) regulations become more stringent for tech companies.
\\n
\\nThe How involves integrating sustainable practices and technologies into data management systems. Engineers are tasked with optimizing data centers, improving energy efficiency, and utilizing renewable energy sources. By incorporating innovative cooling systems, efficient hardware, and intelligent data processing algorithms, engineers can significantly reduce the environmental impact of data centers.
\\n
\\nThe What of Data Sustainability is the adoption of policies and practices by major tech companies, such as Google and Amazon, to minimize their carbon footprint. This includes transitioning to renewable energy, improving infrastructure efficiency, and developing strategies for sustainable data management. As cloud computing expands and more data centers are established globally, engineers play a pivotal role in ensuring that these operations align with sustainable practices, contributing to a more environmentally friendly tech industry.

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Key Drivers:

Regulatory Changes: Stricter national and international regulations regarding the handling, transport, and storage of explosives are being implemented. Agencies like the Occupational Safety and Health Administration (OSHA), the Environmental Protection Agency (EPA), and international organizations like the UN are mandating safer protocols for explosive materials.
Environmental Concerns: Increasing pressure to reduce environmental impact from explosive operations, particularly in mining, defense, and agriculture, is driving the development of safer, cleaner materials and processes.
Technological Advancements: New technologies in materials science, sensor systems, and data analytics are leading to the development of safer explosive compounds, enhanced detection systems, and automated handling systems.
Workforce Safety: Growing emphasis on worker safety in industries like mining and construction is pushing companies to adopt safer explosives, training programs, and operational processes to reduce accidents.

Opportunities for Innovation:

Smart Explosives: The development of explosives that can be remotely monitored and controlled, with built-in fail-safes, represents a promising field.
Non-Explosive Alternatives: Further exploration of alternative technologies (e.g., hydraulic fracturing or laser-based cutting) that can reduce the need for explosives in certain applications.
Safety Analytics: The use of big data analytics to predict safety hazards and optimize the deployment of explosives in real-time based on environmental and operational factors.

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Sustainability\",\n \"timeline\": {\n \"2025-10-29\": [\n {\n \"changed_by\": \"jane.innovation\",\n \"changed_at\": \"14:00:01\",\n \"action\": \"liked\"\n },\n {\n \"changed_by\": \"jane.innovation\",\n \"action\": \"unliked\"\n }\n ],\n \"2025-10-24\": [\n {\n \"changed_by\": \"john.doe\",\n \"changed_at\": \"20:34:01\",\n \"action\": \"entity_update\",\n \"field_label\": \"Entity Relation\",\n \"new_value\": {\n \"field_label\": \"Entity Relation\",\n \"field_value\": {\n \"itonics_opportunityspace_tr3\": [\n {\n \"field_value\": {\n \"id\": \"29\",\n \"title\": \"Seamless, Sustainable Rail Mobility\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"3\",\n \"title\": \"Energy Efficient Development\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"9\",\n \"title\": \"Applied Artificial Intelligence\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"6\",\n \"title\": \"Digital Transformation\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"12\",\n \"title\": \"Sustainable Mobility/Transport\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n }\n ]\n }\n },\n \"old_value\": {\n \"field_label\": \"Entity Relation\",\n \"field_value\": {\n \"itonics_opportunityspace_tr3\": [\n {\n \"field_value\": {\n \"id\": \"3\",\n \"title\": \"Energy Efficient Development\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"6\",\n \"title\": \"Digital Transformation\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"9\",\n \"title\": \"Applied Artificial Intelligence\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n },\n {\n \"field_value\": {\n \"id\": \"12\",\n \"title\": \"Sustainable Mobility/Transport\",\n \"entity type\": \"itonics_opportunityspace_tr3\"\n }\n }\n ]\n }\n }\n }\n ]\n }\n }\n ]\n}"}],"_postman_id":"5430d6d8-2bc8-4f9a-a51e-40569e5c19bf"}],"id":"73a5c036-129c-48ff-8ccb-fb6613f134a2","description":"

Meta controls are universally available to manage data size, pagination, and sorting.

Full text search. Returns all elements containing the given string in any text or tag field.

\n","urlObject":{"path":["api","{entity_type}.json"],"host":["{base_url}"],"query":[{"key":"query","value":"{string}"}],"variable":[]}},"response":[{"id":"bcc54907-a915-4626-8df3-6e01f0deeb7c","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/itonics_trend.json?query=creative%20ai&limit=1","host":["{base_url}"],"path":["api","itonics_trend.json"],"query":[{"key":"query","value":"creative%20ai"},{"key":"limit","value":"1"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/itonics_trend.json?query=creative%20ai&limit=1\",\n \"first\": \"{base_url}/api/itonics_trend.json?query=creative%20ai&limit=0\",\n \"last\": \"{base_url}/api/itonics_trend.json?query=creative%20ai&limit=9\",\n \"next\": \"{base_url}/api/itonics_trend.json?query=creative%20ai&limit=1\",\n \"list\": [\n {\n \"id\": 64,\n \"generated_id\": \"TRE-142498-64\",\n \"tags\": \"trend;impact;high impact;new trend;influence;change;effect;future;development;innovation\",\n \"header_image\": \"string\",\n \"created_at\": \"2025-02-24\",\n \"updated_at\": \"2025-02-24\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"Jane Innovation\",\n \"creator_username\": \"jane.innovation\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"stringent\",\n \"editor_fullname\": \"John Doe\",\n \"editor_username\": \"john.doe\",\n \"relations\": [],\n \"status\": \"Published\",\n \"is_archived\": \"Archived\",\n \"last_review\": null,\n \"internal_experts_username\": \"\",\n \"internal_experts_fullname\": \"\",\n \"trend_segment_hierarchy\": {\n \"trend_segment_hierarchy_entity_segment\": null,\n \"trend_segment_hierarchy_entity_sub_segment\": null\n },\n \"field_trend_maturity\": {\n \"field_trend_maturity_entity_segment\": null\n },\n \"internal_status\": null,\n \"field_focus_trend\": null,\n \"field_trend_workflow\": {\n \"380\": \"Monitor\"\n },\n \"field_my_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"field_expert_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"title\": \"Artificial Intelligence in Pharma\",\n \"abstract\": \"This new trend will have a high impact\",\n \"description\": \"

Why: The pharmaceutical industry is constantly seeking ways to enhance efficiency, reduce costs, and accelerate the drug discovery and development process. Artificial Intelligence (AI) offers transformative potential, addressing these needs by providing innovative solutions that can revolutionize how pharma companies operate, ultimately improving patient outcomes and expanding access to life-saving medications.
\\n
\\nHow: AI technologies can process vast amounts of data quickly and accurately, identifying patterns and insights that would be impossible for humans to discern alone. This capability enables pharma companies to make informed decisions throughout the drug development lifecycle. AI can streamline drug discovery by predicting molecular interactions and potential side effects, optimize clinical trial designs and recruitment, and personalize medicine by analyzing patient data to tailor treatments. Additionally, AI can enhance supply chain management and pharmacovigilance, ensuring drugs reach the market faster and remain safe for consumers.
\\n
\\nWhat: The integration of Artificial Intelligence in pharma is a burgeoning trend that promises to reshape the industry. Companies adopting AI are positioning themselves at the forefront of innovation, gaining a competitive edge by improving R&D efficiency, reducing time-to-market, and enhancing patient care. As the technology continues to evolve, its impact on the pharmaceutical landscape will be profound, offering solutions that not only enhance operational capabilities but also foster a more agile and responsive healthcare ecosystem.

Returns all elements containing the given string in their title.

\n","urlObject":{"path":["api","{entity_type}.json"],"host":["{base_url}"],"query":[{"key":"title","value":"{string}"}],"variable":[]}},"response":[{"id":"d7d6689b-b20b-4c6d-83ef-b2965d47e847","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/itonics_trend.json?title=data%sustainability&limit=1","host":["{base_url}"],"path":["api","itonics_trend.json"],"query":[{"key":"title","value":"data%sustainability"},{"key":"limit","value":"1"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/itonics_trend.json?title=data%sustainability&limit=1\",\n \"first\": \"{base_url}/api/itonics_trend.json?title=data%sustainability&limit=1&page=0\",\n \"last\": \"{base_url}/api/itonics_trend.json?title=data%sustainability&limit=1&page=0\",\n \"list\": [\n {\n \"id\": 72,\n \"generated_id\": \"TRE-142498-72\",\n \"tags\": \"data sustainability;big tech;google;amazon;cloud computing;data centers;environmental regulations;esg;tech companies\",\n \"header_image\": \"string\",\n \"created_at\": \"2025-07-23\",\n \"updated_at\": \"2025-07-23\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_trend\": [\n {\n \"entity_id\": 1,\n \"title\": \"Automating a Greener World\"\n },\n {\n \"entity_id\": 5,\n \"title\": \"Smart Cities\"\n }\n ],\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 21,\n \"title\": \"Energy Harvesting\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"last_review\": \"2025-10-29\",\n \"internal_experts_username\": \"john.doe,jane.innovation\",\n \"internal_experts_fullname\": \"John Doe,Jane Innovation\",\n \"trend_segment_hierarchy\": {\n \"trend_segment_hierarchy_entity_segment\": {\n \"2\": {\n \"label\": \"Technology\",\n \"parent\": \"0\"\n }\n },\n \"trend_segment_hierarchy_entity_sub_segment\": {\n \"131\": {\n \"label\": \"Rise of Artificial Intelligence\",\n \"parent\": \"2\"\n },\n \"134\": {\n \"label\": \"Rise of Data Analytics\",\n \"parent\": \"2\"\n }\n }\n },\n \"field_trend_maturity\": {\n \"field_trend_maturity_entity_segment\": {\n \"219\": {\n \"label\": \"Maturing\",\n \"parent\": \"0\"\n }\n }\n },\n \"internal_status\": {\n \"251\": \"2- Under evaluation\"\n },\n \"field_focus_trend\": {\n \"383\": \"Yes\"\n },\n \"field_trend_workflow\": {\n \"381\": \"Assess\"\n },\n \"field_my_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"field_expert_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"title\": \"Data Sustainability\",\n \"abstract\": \"Data Sustainability refers to growing awareness of the carbon footprint associated with storing and managing ever-growing quantities of data. As some of the biggest electricity users and carbon emitters in their big data supply chains, big tech companies such as Google and Amazon are incorporating Data Sustainability into their policies and practices. As cloud computing proliferates and more data centers are set up globally, Data Sustainability will become increasingly relevant as environmental, social, and governance (ESG) regulations tighten for tech companies.\",\n \"description\": \"

Filters by the machine name of a list field. Note: The filter value must be the URL-encoded machine name of the list option.

\n","urlObject":{"path":["api","{entity_type}.json"],"host":["{base_url}"],"query":[{"key":"{list_field}","value":"{field_option_string}"}],"variable":[]}},"response":[{"id":"92b11b43-78cd-4088-b540-95ece43e4016","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/itonics_trend.json?trend_segment_hierarchy_entity_segment=Politics%20%26%20Law&page=1&limit=2","host":["{base_url}"],"path":["api","itonics_trend.json"],"query":[{"key":"trend_segment_hierarchy_entity_segment","value":"Politics%20%26%20Law"},{"key":"page","value":"1"},{"key":"limit","value":"2"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/itonics_trend.json?trend_segment_hierarchy_entity_segment=Politics%20%26%20Law&page=1&limit=1\",\n \"first\": \"{base_url}/api/itonics_trend.json?trend_segment_hierarchy_entity_segment=Politics%20%26%20Law&page=0&limit=1\",\n \"last\": \"{base_url}/api/itonics_trend.json?trend_segment_hierarchy_entity_segment=Politics%20%26%20Law&page=11&limit=1\",\n \"prev\": \"{base_url}/api/itonics_trend.json?trend_segment_hierarchy_entity_segment=Politics%20%26%20Law&page=0&limit=1\",\n \"next\": \"{base_url}/api/itonics_trend.json?trend_segment_hierarchy_entity_segment=Politics%20%26%20Law&page=2&limit=1\",\n \"list\": [\n {\n \"id\": 39,\n \"generated_id\": \"TRE-142498-39\",\n \"tags\": \"xai;technology;information technology;computing;branches of science;explainable artificial intelligence;issues in ethics;communication;computer science;applied ethics;business;concepts in metaphysics;public sphere;social issues;social institutions;economy;politics;cyberspace;management;human communication\",\n \"header_image\": \"https://innovation-os.demo.itonicsit.de/system/files/images/f8f3acb292bc9892760ff873924f16438185c684.jpeg\",\n \"created_at\": \"2023-06-27\",\n \"updated_at\": \"2023-06-27\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"John Doe\",\n \"editor_username\": \"john.doe\",\n \"relations\": {\n \"itonics_company_tr3\": [\n {\n \"entity_id\": 71,\n \"title\": \"OpenAI\"\n }\n ],\n \"itonics_opportunityspace_tr3\": [\n {\n \"entity_id\": 6,\n \"title\": \"Digital Transformation\"\n },\n {\n \"entity_id\": 9,\n \"title\": \"Applied Artificial Intelligence\"\n },\n {\n \"entity_id\": 30,\n \"title\": \"Agile Innovation Enablement\"\n }\n ],\n \"type_idea_entity\": [\n {\n \"entity_id\": 1,\n \"title\": \"Augmented Reality for Machine Maintenance and Repair\"\n }\n ],\n \"itonics_campaign_tr3\": [\n {\n \"entity_id\": 21,\n \"title\": \"Machine Learning Applications\"\n }\n ],\n \"itonics_innovation_project_tr3\": [\n {\n \"entity_id\": 58,\n \"title\": \"Augmented Reality for Machine Maintenance and Repair\"\n },\n {\n \"entity_id\": 73,\n \"title\": \"Augmented Reality for Machine Maintenance and Repair\"\n },\n {\n \"entity_id\": 77,\n \"title\": \"Augmented Reality for Machine Maintenance and Repair\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"last_review\": null,\n \"internal_experts_username\": \"jane.innovation\",\n \"internal_experts_fullname\": \"Jane Innovation\",\n \"trend_segment_hierarchy\": {\n \"trend_segment_hierarchy_entity_segment\": {\n \"1\": {\n \"label\": \"Society\",\n \"parent\": \"0\"\n },\n \"2\": {\n \"label\": \"Technology\",\n \"parent\": \"0\"\n },\n \"5\": {\n \"label\": \"Politics & Law\",\n \"parent\": \"0\"\n }\n },\n \"trend_segment_hierarchy_entity_sub_segment\": {\n \"124\": {\n \"label\": \"Rising Access to Education\",\n \"parent\": \"1\"\n },\n \"128\": {\n \"label\": \"Rising Social Integration\",\n \"parent\": \"1\"\n },\n \"130\": {\n \"label\": \"Influence of Social Networks\",\n \"parent\": \"1\"\n },\n \"131\": {\n \"label\": \"Rise of Artificial Intelligence\",\n \"parent\": \"2\"\n },\n \"136\": {\n \"label\": \"Rising Smart Technologies\",\n \"parent\": \"2\"\n },\n \"149\": {\n \"label\": \"Rise in Internet and Privacy Concerns\",\n \"parent\": \"5\"\n },\n \"151\": {\n \"label\": \"Rising Citizen Activism\",\n \"parent\": \"5\"\n }\n }\n },\n \"field_trend_maturity\": {\n \"field_trend_maturity_entity_segment\": null\n },\n \"internal_status\": {\n \"255\": \"1- No internal activities\"\n },\n \"field_focus_trend\": null,\n \"field_trend_workflow\": {\n \"380\": \"Monitor\"\n },\n \"field_my_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"field_expert_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"title\": \"Explainable & Transparent Technologies\",\n \"abstract\": \"Consumer demand for transparent technologies has become increasingly prevalent as individuals seek to understand and trust the systems they interact with. Transparency in technology, including the use of Explainable AI (XAI) techniques, is a response to this demand. Consumers desire clarity and visibility into the inner workings of technology to make informed decisions, ensure privacy and security, and hold systems accountable. This abstract provides a concise overview of the consumer-driven need for transparent technologies and highlights XAI as an example of a solution that addresses this demand.\",\n \"description\": \"

In the digital age, consumers are becoming more conscious of the technologies they use and their impact on their lives. They desire transparency in these technologies, seeking to understand how they function and the implications they have on their personal information, decision-making, and overall well-being.

One area where transparency is particularly important is artificial intelligence. Consumers increasingly encounter AI systems in various aspects of their daily lives, from voice assistants and recommendation algorithms to fraud detection systems and autonomous vehicles. However, the complex nature of AI algorithms often leaves users feeling uncertain and disconnected from the decision-making process.

Explainable AI (XAI) techniques aim to bridge this gap by providing transparency and interpretability in AI systems. XAI allows users to understand the factors that influence AI decisions, enabling them to trust the outcomes and make informed choices. By offering explanations for AI predictions, XAI provides consumers with insights into the reasoning and logic behind the technology's outputs.

The demand for transparency in technology extends beyond AI. Consumers seek clarity in data collection and usage practices, particularly when it comes to personal information. They desire transparency in how their data is gathered, stored, shared, and monetized, and they expect companies to be open and accountable about these practices.

Furthermore, consumers want transparency in algorithmic decision-making processes. When algorithms are used to make decisions that affect individuals, such as loan approvals or job applications, consumers want to know the criteria and factors considered by these systems. They desire fairness, accountability, and the ability to challenge or appeal decisions made by algorithms.

Transparency also plays a role in ensuring the security and privacy of consumer technologies. Users want to understand the security measures employed by technology providers to protect their personal data and mitigate risks. They desire clear information about data breaches, vulnerabilities, and the steps taken to safeguard their information.

Companies are increasingly recognizing the importance of transparency in technology. Many organizations are proactively providing users with more control over their data, clearer privacy policies, and tools to manage their preferences. They are investing in user-friendly interfaces and dashboards that allow individuals to see and control how their data is utilized.

Regulatory bodies are also responding to the consumer demand for transparency. Privacy regulations such as the European Union's General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) require companies to be more transparent about data collection, usage, and sharing practices.

In conclusion, consumers today want technologies to be transparent, providing clarity, understanding, and trust. Explainable AI (XAI) is an example of a solution that addresses this demand in the realm of artificial intelligence. By offering explanations for AI decisions, consumers can make informed choices, understand the logic behind technology, and hold systems accountable. Transparency extends beyond AI and encompasses data privacy, algorithmic decision-making, and security practices. As consumers continue to advocate for transparency, companies and regulators are adapting their practices to meet these expectations and ensure that technology serves the needs and interests of individuals.

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Filters by the machine name of a user search field. Note: The filter value must be the _username_ of the requested user.

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Key Drivers:

Regulatory Changes: Stricter national and international regulations regarding the handling, transport, and storage of explosives are being implemented. Agencies like the Occupational Safety and Health Administration (OSHA), the Environmental Protection Agency (EPA), and international organizations like the UN are mandating safer protocols for explosive materials.
Environmental Concerns: Increasing pressure to reduce environmental impact from explosive operations, particularly in mining, defense, and agriculture, is driving the development of safer, cleaner materials and processes.
Technological Advancements: New technologies in materials science, sensor systems, and data analytics are leading to the development of safer explosive compounds, enhanced detection systems, and automated handling systems.
Workforce Safety: Growing emphasis on worker safety in industries like mining and construction is pushing companies to adopt safer explosives, training programs, and operational processes to reduce accidents.

Opportunities for Innovation:

Smart Explosives: The development of explosives that can be remotely monitored and controlled, with built-in fail-safes, represents a promising field.
Non-Explosive Alternatives: Further exploration of alternative technologies (e.g., hydraulic fracturing or laser-based cutting) that can reduce the need for explosives in certain applications.
Safety Analytics: The use of big data analytics to predict safety hazards and optimize the deployment of explosives in real-time based on environmental and operational factors.

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Filters elements based on a date field's value. Append _from or _to to the field's machine name. Date format: YYYY-MM-DD.

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By integrating data from performance reviews, project outputs, and market trends, it enables continuous talent development aligned with Schaeffler’s technological advancements, fostering workforce agility and enhancing innovation capabilities.\",\n \"description\": \"

An AI-driven talent analytics and upskilling platform is a software system that uses machine learning and data analytics to monitor workforce skills, identify gaps, and deliver tailored learning recommendations. It supports proactive talent management by aligning employee development with organizational goals and technological evolution.

p]:pt-0 [&>p]:pb-2 [&>p]:my-0 animate-in fade-in-25 duration-700\\\">
Integration of HR data such as performance metrics and training records
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Predictive analytics for future skill requirements
p]:pt-0 [&>p]:pb-2 [&>p]:my-0 animate-in fade-in-25 duration-700\\\">
Personalized learning and certification pathways
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Monitoring of employee progress and skill acquisition
p]:pt-0 [&>p]:pb-2 [&>p]:my-0 animate-in fade-in-25 duration-700\\\">
Support for strategic workforce planning and retention initiatives

\",\n \"number_of_followers\": 1,\n \"followers\": [\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"ITONICS Admin\",\n \"username\": \"admitonics\"\n }\n ],\n \"number_of_likes\": 0,\n \"liked_by\": null,\n \"number_of_comments\": 0,\n \"number_of_shares\": 0,\n \"number_of_views\": 1,\n \"attachments\": [],\n \"rating_info\": {\n \"number_ratings_active\": 0,\n \"number_ratings_inactive\": 0\n }\n }\n ]\n}"}],"_postman_id":"a5af318c-8981-4ced-9c8f-d7c824f45084"},{"name":"Relations filter","id":"fb7acb79-311d-4df5-aecd-515f5fb603ce","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/{entity_type}.json?relates_to={element_title}","description":"

Returns all elements related to the requested element. The filter value (element name) must be a URL-encoded string.

\n","urlObject":{"path":["api","{entity_type}.json"],"host":["{base_url}"],"query":[{"key":"relates_to","value":"{element_title}"}],"variable":[]}},"response":[{"id":"9e0aa189-8222-480b-b187-7965622599a0","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/itonics_technology_tr3.json?relates_to=Creative%20AI&limit=2","host":["{base_url}"],"path":["api","itonics_technology_tr3.json"],"query":[{"key":"relates_to","value":"Creative%20AI"},{"key":"limit","value":"2"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/itonics_technology_tr3.json?relates_to=Creative%20AI&limit=2\",\n \"first\": \"{base_url}/api/itonics_technology_tr3.json?relates_to=Creative%20AI&limit=2&page=0\",\n \"last\": \"{base_url}/api/itonics_technology_tr3.json?relates_to=Creative%20AI&limit=2&page=1\",\n \"next\": \"{base_url}/api/itonics_technology_tr3.json?relates_to=Creative%20AI&limit=2&page=1\",\n \"list\": [\n {\n \"id\": 115,\n \"generated_id\": \"TECH-757634-115\",\n \"tags\": \"technology;computing;information technology;pipeline;information science;cognitive science;pattern recognition;cognition;learning;artificial intelligence;branches of science;applied mathematics\",\n \"header_image\": \"string\",\n \"created_at\": \"2025-08-14\",\n \"updated_at\": \"2025-09-01\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_trend\": [\n {\n \"entity_id\": 38,\n \"title\": \"Ethical AI and bias mitigation\"\n }\n ],\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 34,\n \"title\": \"Creative AI\"\n }\n ],\n \"type_technology_application\": [\n {\n \"entity_id\": 48,\n \"title\": \"AI-powered Industrial Robots\"\n },\n {\n \"entity_id\": 57,\n \"title\": \"Synthesia- AI Video Generation Platform\"\n }\n ],\n \"itonics_opportunityspace_tr3\": [\n {\n \"entity_id\": 9,\n \"title\": \"Applied Artificial Intelligence\"\n },\n {\n \"entity_id\": 27,\n \"title\": \"Seamless Passenger Experience Through Smart Airport Ecosystems\"\n },\n {\n \"entity_id\": 31,\n \"title\": \"Digital & Sustainable Leak Detection\"\n }\n ],\n \"type_idea_entity\": [\n {\n \"entity_id\": 80,\n \"title\": \"AI-Powered Personal Travel Concierge\"\n },\n {\n \"entity_id\": 81,\n \"title\": \"Smart Retail and Dining Experience\"\n }\n ],\n \"itonics_innovation_project_tr3\": [\n {\n \"entity_id\": 54,\n \"title\": \"AI-Powered Personal Travel Concierge\"\n },\n {\n \"entity_id\": 58,\n \"title\": \"Augmented Reality for Machine Maintenance and Repair\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"next_review\": null,\n \"technology_expert_username\": \"john.doe,jane.innovation\",\n \"technology_expert_fullname\": \"John Doe,Jane Innovation\",\n \"technology_segment_hierarchy\": {\n \"technology_segment_hierarchy_entity_segment\": {\n \"8\": {\n \"label\": \"Energy & Resources\",\n \"parent\": \"0\"\n }\n },\n \"technology_segment_hierarchy_entity_sub_segment\": {\n \"42\": {\n \"label\": \"Waste\",\n \"parent\": \"8\"\n }\n }\n },\n \"field_technology_segmentation\": {\n \"field_technology_segmentation_entity_segment\": {\n \"180\": {\n \"label\": \"Digital Technologies\",\n \"parent\": \"0\"\n }\n },\n \"field_technology_segmentation_entity_sub_segment\": {\n \"186\": {\n \"label\": \"Industrial Automation and Robotics\",\n \"parent\": \"180\"\n }\n }\n },\n \"technology_readiness_level\": {\n \"265\": \"TRL 1-3: Theoretical Concept\"\n },\n \"internal_status\": {\n \"251\": \"2- Under evaluation\"\n },\n \"impacted_business_technology\": {\n \"275\": \"Other\"\n },\n \"pc_allow_submissions\": {\n \"463\": \"Yes\"\n },\n \"field_is_focus_technology_\": null,\n \"field_technology_process\": {\n \"386\": \"Validation\"\n },\n \"field_technology_partner\": [],\n \"field_related_projects\": [],\n \"field_groups\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"title\": \"Hydrocarbon Leak Pattern Recognition Platform (HLPRP)\",\n \"field_url\": null,\n \"abstract\": \"The HLPRP is a machine learning platform built to analyze flow and compositional data from pipeline and facility monitoring equipment. Its pattern recognition models distinguish between normal operational fluctuations and leak signatures of hydrocarbons, enabling rapid and accurate leak identification.\",\n \"description\": \"

HLPRP deploys supervised and unsupervised learning models trained on Petrobras-specific pipeline data. Its scope encompasses:

p]:pt-0 [&>p]:mb-2 [&>p]:my-0\\\">
Continuous data ingestion from flow meters and chemical sensors
p]:pt-0 [&>p]:mb-2 [&>p]:my-0\\\">
Model adaptation for evolving pipeline characteristics
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Automated reporting and diagnostic visualization
p]:pt-0 [&>p]:mb-2 [&>p]:my-0\\\">
Integration with SCADA and maintenance planning tools

Text Analytics and Natural Language Processing (NLP) are two interconnected fields of study that have gained significant importance and have revolutionized various industries. Text Analytics involves the process of extracting meaningful insights from unstructured textual data, while NLP focuses on the interaction between computers and human language, enabling machines to understand, interpret, and generate human language.

The significance of these technologies lies in their ability to unlock valuable information hidden within vast amounts of textual data, ranging from social media posts, customer reviews, emails, and documents, to news articles and scientific literature. Text Analytics and NLP techniques employ advanced algorithms and machine learning models to extract, analyze, and summarize this textual data, enabling organizations to gain valuable insights, make data-driven decisions, and automate various tasks.

In the business world, Text Analytics and NLP have transformed customer experience management, market research, and sentiment analysis. By analyzing customer feedback, companies can identify patterns, preferences, and sentiments, enabling them to improve products, personalize marketing campaigns, and enhance customer satisfaction. Sentiment analysis, for example, allows organizations to gauge public opinion on social media platforms, helping them understand customer sentiment towards their brand or product.

In the healthcare industry, Text Analytics and NLP have revolutionized medical research, clinical decision-making, and patient care. Researchers can analyze vast amounts of scientific literature to identify patterns and discover new insights. NLP algorithms can analyze patient records, extract relevant information, and assist in diagnosis and treatment recommendations, leading to improved healthcare outcomes and personalized medicine.

Text Analytics and NLP have become indispensable tools in numerous industries. They unlock the power of textual data, allowing organizations to gain insights, automate processes, enhance decision-making, and improve customer experiences. As these technologies continue to advance, we can expect even greater innovations and applications in the future, further transforming industries and shaping our digital world.

Returns all elements tagged with the requested tag. The filter value (tag name) must be a URL-encoded string.

\n","urlObject":{"path":["api","{entity_type}.json"],"host":["{base_url}"],"query":[{"key":"tag","value":"{string}"}],"variable":[]}},"response":[{"id":"a06ba5cb-e20f-4e6c-aaeb-706d23b27739","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/itonics_trend.json?tag=artificial%20intelligence&limit=2","host":["{base_url}"],"path":["api","itonics_trend.json"],"query":[{"key":"tag","value":"artificial%20intelligence"},{"key":"limit","value":"2"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/itonics_trend.json?tag=artifical%20intelligence&limit=2\",\n \"first\": \"{base_url}/api/itonics_trend.json?tag=artifical%20intelligence&limit=2&page=0\",\n \"last\": \"{base_url}/api/itonics_trend.json?tag=artifical%20intelligence&limit=2&page=1\",\n \"next\": \"{base_url}/api/itonics_trend.json?tag=artifical%20intelligence&limit=2&page=1\",\n \"list\": [\n {\n \"id\": 40,\n \"generated_id\": \"TRE-142498-40\",\n \"tags\": \"artificial intelligence;personalization;ui;information technology;communication;computer science;social influence\",\n \"header_image\": \"string\",\n \"created_at\": \"2023-06-27\",\n \"updated_at\": \"2023-09-18\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_trend\": [\n {\n \"entity_id\": 18,\n \"title\": \"Data Sustainability\"\n },\n {\n \"entity_id\": 27,\n \"title\": \"Behavior Shaping\"\n },\n {\n \"entity_id\": 38,\n \"title\": \"Ethical AI and bias mitigation\"\n }\n ],\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 34,\n \"title\": \"Creative AI\"\n },\n {\n \"entity_id\": 36,\n \"title\": \"Supercomputing\"\n },\n {\n \"entity_id\": 37,\n \"title\": \"Text Analytics and Natural Language Processing (NLP)\"\n },\n {\n \"entity_id\": 38,\n \"title\": \"Virtual Agents\"\n }\n ],\n \"type_technology_application\": [\n {\n \"entity_id\": 56,\n \"title\": \"ChatSonic- conversational AI powered chatbot\"\n }\n ],\n \"type_voice_of_customer_voc_\": [\n {\n \"entity_id\": 1,\n \"title\": \"Add Preset Option\"\n }\n ],\n \"itonics_inspiration_tr3\": [\n {\n \"entity_id\": 132,\n \"title\": \"Researchers create AiFoam for robots to interact intelligently with their surroundings\"\n }\n ],\n \"itonics_opportunityspace_tr3\": [\n {\n \"entity_id\": 6,\n \"title\": \"Digital Transformation\"\n },\n {\n \"entity_id\": 9,\n \"title\": \"Applied Artificial Intelligence\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"last_review\": \"2023-09-30\",\n \"internal_experts_username\": \"john.doe,jane.innovation\",\n \"internal_experts_fullname\": \"John Doe, Jane Innovation\",\n \"trend_segment_hierarchy\": {\n \"trend_segment_hierarchy_entity_segment\": {\n \"1\": {\n \"label\": \"Society\",\n \"parent\": \"0\"\n },\n \"2\": {\n \"label\": \"Technology\",\n \"parent\": \"0\"\n },\n \"4\": {\n \"label\": \"Economy\",\n \"parent\": \"0\"\n }\n },\n \"trend_segment_hierarchy_entity_sub_segment\": {\n \"130\": {\n \"label\": \"Influence of Social Networks\",\n \"parent\": \"1\"\n },\n \"131\": {\n \"label\": \"Rise of Artificial Intelligence\",\n \"parent\": \"2\"\n },\n \"136\": {\n \"label\": \"Rising Smart Technologies\",\n \"parent\": \"2\"\n },\n \"142\": {\n \"label\": \"New Consumer Behaviours\",\n \"parent\": \"4\"\n },\n \"143\": {\n \"label\": \"Customer Engagement\",\n \"parent\": \"4\"\n }\n }\n },\n \"field_trend_maturity\": {\n \"field_trend_maturity_entity_segment\": null\n },\n \"internal_status\": {\n \"251\": \"2- Under evaluation\"\n },\n \"field_focus_trend\": null,\n \"field_trend_workflow\": {\n \"381\": \"Assess\"\n },\n \"field_my_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"field_expert_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"title\": \"Personalized User Experiences\",\n \"abstract\": \"Personalized user experiences driven by AI have revolutionized industries, enhancing customer satisfaction and engagement. By leveraging user data and AI algorithms, organizations deliver tailored content, recommendations, and services, fostering loyalty and positive user experiences. However, ensuring privacy, data security, and addressing algorithmic biases remain crucial considerations in this trend.\",\n \"description\": \"

Personalized user experiences have become a prominent trend driven by advancements in technology, data analytics, and artificial intelligence (AI). This trend focuses on tailoring products, services, and content to individual users' preferences, behaviors, and needs, aiming to enhance engagement, satisfaction, and overall user experience.

The importance of personalized user experiences lies in their ability to create a customized and relevant interaction between businesses and their customers. By leveraging AI algorithms and data analytics, organizations can analyze vast amounts of user data, including past interactions, browsing history, purchase patterns, and demographic information. This data enables businesses to understand user preferences and deliver personalized recommendations, product suggestions, and targeted marketing messages.

Personalization can be observed across various industries. In e-commerce, personalized product recommendations based on user browsing and purchase history enhance the online shopping experience, increase conversion rates, and drive customer loyalty. Streaming platforms use personalized algorithms to curate content based on users' viewing habits, ensuring an engaging and personalized entertainment experience. Social media platforms utilize AI to tailor news feeds and ads to individuals' interests and connections, maximizing user engagement.

Additionally, personalized user experiences extend beyond online platforms. In healthcare, AI-powered systems analyze patient data to deliver personalized treatment recommendations and preventive care plans. In education, adaptive learning platforms use personalized algorithms to tailor educational content and assessments to individual students' learning styles and abilities, improving learning outcomes.

While personalized user experiences offer numerous benefits, there are also considerations regarding privacy and data protection. Collecting and analyzing user data must be done responsibly, with clear consent and proper security measures in place to safeguard user privacy.

\",\n \"number_of_followers\": 3,\n \"followers\": [\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"John Doe\",\n \"username\": \"john.doe\"\n },\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"Jane Innovation\",\n \"username\": \"jane.innovation\"\n },\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"ITONICS Admin\",\n \"username\": \"itonics.admin\"\n }\n ],\n \"number_of_likes\": 1,\n \"liked_by\": [\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"Jane Innovation\",\n \"username\": \"jane.innovation\"\n }\n ],\n \"number_of_comments\": 0,\n \"number_of_shares\": 0,\n \"number_of_views\": 74,\n \"attachments\": [],\n \"rating_info\": {\n \"number_ratings_active\": \"3\",\n \"number_ratings_inactive\": 0,\n \"rating_116_recommended_action\": {\n \"criteria_name\": \"Recommended Action\",\n \"average_string\": \"Explore\",\n \"average_decimal\": \"3.26\",\n \"users\": [\n \"314\",\n \"1\"\n ],\n \"rating_group\": \"Trend Rating\",\n \"rating_data\": [\n {\n \"user\": \"Jane Innovation\",\n \"user_context\": \"IT\",\n \"rating_type\": \"group_trend_rating_group\",\n \"rating_value\": \"4\",\n \"rating_date\": \"2025-08-07\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"314\"\n },\n {\n \"user\": \"ITONICS Admin\",\n \"user_context\": \"IT\",\n \"rating_type\": \"group_trend_rating_group\",\n \"rating_value\": \"3.5555555555556\",\n \"rating_date\": \"2025-01-14\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"1\"\n },\n {\n \"user\": \"Jane Innovation\",\n \"user_context\": \"Sales\",\n \"rating_type\": \"group_trend_rating_group\",\n \"rating_value\": \"2.5555555555556\",\n \"rating_date\": \"2025-01-14\",\n \"comment\": \"\",\n \"status\": \"Active\",\n \"uid\": \"314\"\n }\n ]\n }\n }\n },\n {\n \"id\": 38,\n \"generated_id\": \"TRE-142498-38\",\n \"tags\": \"artificial intelligence;cognitive science;computational neuroscience;emerging technologies;systems science;cognition;concepts in metaphysics;technology;branches of science;technological change;learning;computing;issues in ethics;computer science;applied ethics\",\n \"header_image\": \"string\",\n \"created_at\": \"2023-06-27\",\n \"updated_at\": \"2025-07-15\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_trend\": [\n {\n \"entity_id\": 40,\n \"title\": \"Personalized User Experiences\"\n },\n {\n \"entity_id\": 41,\n \"title\": \"Data-driven Decision Making\"\n }\n ],\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 34,\n \"title\": \"Creative AI\"\n },\n {\n \"entity_id\": 115,\n \"title\": \"Hydrocarbon Leak Pattern Recognition Platform (HLPRP)\"\n }\n ],\n \"itonics_opportunityspace_tr3\": [\n {\n \"entity_id\": 6,\n \"title\": \"Digital Transformation\"\n },\n {\n \"entity_id\": 9,\n \"title\": \"Applied Artificial Intelligence\"\n },\n {\n \"entity_id\": 27,\n \"title\": \"Seamless Passenger Experience Through Smart Airport Ecosystems\"\n }\n ],\n \"type_idea_entity\": [\n {\n \"entity_id\": 1,\n \"title\": \"Augmented Reality for Machine Maintenance and Repair\"\n },\n {\n \"entity_id\": 80,\n \"title\": \"AI-Powered Personal Travel Concierge\"\n }\n ],\n \"itonics_campaign_tr3\": [\n {\n \"entity_id\": 21,\n \"title\": \"Machine Learning Applications\"\n }\n ],\n \"itonics_innovation_project_tr3\": [\n {\n \"entity_id\": 54,\n \"title\": \"AI-Powered Personal Travel Concierge\"\n },\n {\n \"entity_id\": 58,\n \"title\": \"Augmented Reality for Machine Maintenance and Repair\"\n },\n {\n \"entity_id\": 73,\n \"title\": \"Augmented Reality for Machine Maintenance and Repair\"\n },\n {\n \"entity_id\": 77,\n \"title\": \"Augmented Reality for Machine Maintenance and Repair\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"last_review\": \"2025-07-16\",\n \"internal_experts_username\": \"jane.innovation\",\n \"internal_experts_fullname\": \"Jane Innovation\",\n \"trend_segment_hierarchy\": {\n \"trend_segment_hierarchy_entity_segment\": {\n \"1\": {\n \"label\": \"Society\",\n \"parent\": \"0\"\n },\n \"2\": {\n \"label\": \"Technology\",\n \"parent\": \"0\"\n },\n \"5\": {\n \"label\": \"Politics & Law\",\n \"parent\": \"0\"\n }\n },\n \"trend_segment_hierarchy_entity_sub_segment\": {\n \"128\": {\n \"label\": \"Rising Social Integration\",\n \"parent\": \"1\"\n },\n \"131\": {\n \"label\": \"Rise of Artificial Intelligence\",\n \"parent\": \"2\"\n },\n \"149\": {\n \"label\": \"Rise in Internet and Privacy Concerns\",\n \"parent\": \"5\"\n }\n }\n },\n \"field_trend_maturity\": {\n \"field_trend_maturity_entity_segment\": {\n \"217\": {\n \"label\": \"Emerging\",\n \"parent\": \"0\"\n }\n }\n },\n \"internal_status\": {\n \"251\": \"2- Under evaluation\"\n },\n \"field_focus_trend\": null,\n \"field_trend_workflow\": {\n \"382\": \"Recommend\"\n },\n \"field_my_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"field_expert_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"title\": \"Ethical AI and bias mitigation\",\n \"abstract\": \"Ethical AI and bias mitigation have emerged as crucial trends in the field of artificial intelligence. As AI systems become more pervasive in various domains, concerns regarding fairness, accountability, transparency, and the potential amplification of biases have gained significant attention. The trend focuses on developing frameworks, guidelines, and techniques to ensure that AI systems are designed and deployed in an ethical and responsible manner. This abstract provides a concise overview of the trend of ethical AI and bias mitigation.\",\n \"description\": \"

The trend of ethical AI and bias mitigation addresses the ethical concerns associated with the development and deployment of artificial intelligence systems. As AI technology becomes increasingly integrated into various aspects of society, including healthcare, finance, criminal justice, and hiring processes, there is a growing recognition of the need to ensure that these systems are fair, transparent, and accountable.

One of the key areas of focus in ethical AI is the identification and mitigation of biases within AI algorithms. Bias can arise from the data used to train AI models, leading to discriminatory or unfair outcomes. Efforts are being made to develop techniques that detect and address biases, both explicit and implicit, to minimize their impact on AI decision-making.

To mitigate bias, researchers and developers are exploring methods such as data preprocessing techniques, algorithmic fairness, and bias-aware model training. These approaches aim to remove or reduce biases in training data, ensure that AI models treat individuals fairly and equitably across different demographic groups, and provide explanations for the decisions made by AI systems.

Additionally, transparency and explainability are essential aspects of ethical AI. Users and stakeholders should have visibility into the inner workings of AI systems and understand how decisions are made. Techniques such as interpretable machine learning and explainable AI are being developed to provide insights into the decision-making processes of AI models, helping to build trust and accountability.

Another critical consideration in ethical AI is data privacy and security. As AI systems rely on vast amounts of data, there is a need to protect sensitive information and ensure that data usage is compliant with privacy regulations. Privacy-preserving techniques, such as federated learning and differential privacy, are being explored to enable AI models to learn from distributed data without compromising individual privacy.

Furthermore, the development of ethical AI frameworks and guidelines is gaining momentum. Organizations, researchers, and policymakers are working towards establishing standards and best practices that promote responsible and ethical AI development and deployment. These frameworks aim to address issues related to transparency, bias mitigation, accountability, and the responsible use of AI technology.

The trend of ethical AI and bias mitigation acknowledges the importance of addressing societal concerns and ensuring that AI systems are developed with ethical considerations in mind. By striving for fairness, transparency, accountability, and privacy, the field of AI aims to build trustworthy and responsible systems that benefit society as a whole. Continued research, collaboration, and awareness are essential to navigate the complex challenges associated with ethical AI and mitigate biases, fostering a more inclusive and equitable future for AI technology.

Filters elements created before (_to) or after (_from) the requested date. Date format: YYYY-MM-DD.

\n","urlObject":{"path":["api","{entity_type}.json"],"host":["{base_url}"],"query":[{"key":"created_date_from","value":"{YYYY-MM-DD}"}],"variable":[]}},"response":[{"id":"d4094200-b56a-4feb-ac5c-235d9073d58e","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/itonics_trend.json?created_date_from=2025-01-10&limit=1","host":["{base_url}"],"path":["api","itonics_trend.json"],"query":[{"key":"created_date_from","value":"2025-01-10"},{"key":"limit","value":"1"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/itonics_trend.json?created_date_from=2025-01-10\",\n \"first\": \"{base_url}/api/itonics_trend.json?created_date_from=2025-01-10&page=0\",\n \"last\": \"{base_url}/api/itonics_trend.json?created_date_from=2025-01-10&page=0\",\n \"list\": [\n {\n \"id\": 84,\n \"generated_id\": \"TRE-142498-84\",\n \"tags\": \"ucl;university college london;united kingdom;indus;seaweed-derived hydrogel;micro-algae;water purification;tile-based wall system;ir food & drinks;ir healthcare & pharmaceutical;ir chemicals & materials\",\n \"header_image\": null,\n \"created_at\": \"2025-10-14\",\n \"updated_at\": \"2025-10-14\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"ITONICS Admin\",\n \"creator_username\": \"admitonics\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 3,\n \"title\": \"Water Treatment Technologies\"\n }\n ],\n \"itonics_innovation_project_tr3\": [\n {\n \"entity_id\": 63,\n \"title\": \"AI-Powered Voyage Emissions Optimizer\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"last_review\": null,\n \"internal_experts_username\": \"\",\n \"internal_experts_fullname\": \"\",\n \"trend_segment_hierarchy\": {\n \"trend_segment_hierarchy_entity_segment\": null,\n \"trend_segment_hierarchy_entity_sub_segment\": null\n },\n \"field_trend_maturity\": {\n \"field_trend_maturity_entity_segment\": null\n },\n \"internal_status\": null,\n \"field_focus_trend\": null,\n \"field_trend_workflow\": {\n \"380\": \"Monitor\"\n },\n \"field_my_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"field_expert_group\": {\n \"group\": \"\",\n \"context\": \"\"\n },\n \"title\": \"Algae tiles offer affordable purification of polluted water\",\n \"abstract\": \"A team of designers and biochemical engineers from University College London (UCL) developed a tile-based wall system that can filter toxic chemical dyes and heavy metals out of water. The project is based on bioremediation, which uses biological organisms (in this case algae) to help purify the water from contamination in a sustainable way. “Indus”, which mimics nature’s ability to distribute water, is composed of modular tile units with vein-like channels and inspired by the structure of leaves. The tiles contain a preparation of micro-algae suspended with a biological scaffold of a seaweed-derived hydrogel.\",\n \"description\": null,\n \"number_of_followers\": 0,\n \"followers\": null,\n \"number_of_likes\": 0,\n \"liked_by\": null,\n \"number_of_comments\": 0,\n \"number_of_shares\": 0,\n \"number_of_views\": 1,\n \"attachments\": [\n {\n \"path\": \"https://www.springwise.com/sustainability-innovation/architecture-design/indus-algae-wall-wastewater\",\n \"title\": \"www.springwise.com\"\n }\n ],\n \"rating_info\": {\n \"number_ratings_active\": 0,\n \"number_ratings_inactive\": 0\n }\n }\n ]\n}"}],"_postman_id":"b942f1bc-b0d9-4c55-9235-c600756e5ed8"},{"name":"Creator filter","id":"37c9aa71-dd02-4576-a213-5fc94f3fd494","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/{entity_type}.json?created_by={username}","description":"

Returns all elements created by the requested user. Note: The filter value must be the user's _username_.

\n","urlObject":{"path":["api","{entity_type}.json"],"host":["{base_url}"],"query":[{"key":"created_by","value":"{username}"}],"variable":[]}},"response":[{"id":"ce1ba554-9849-44f9-933e-fed2130f7dc5","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/type_technology_application.json?created_by=john.doe&limit=1","host":["{base_url}"],"path":["api","type_technology_application.json"],"query":[{"key":"created_by","value":"john.doe"},{"key":"limit","value":"1"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"/api/type_technology_application.json?created_by=john.doe&limit=1\",\n \"first\": \"/api/type_technology_application.json?created_by=john.doe&limit=1&page=0\",\n \"last\": \"/api/type_technology_application.json?created_by=john.doe&limit=1&page=5\",\n \"next\": \"/api/type_technology_application.json?created_by=john.doe&limit=1&page=1\",\n \"list\": [\n {\n \"id\": 50,\n \"generated_id\": \"TEC-APP-557179-50\",\n \"tags\": \"nanotechnology;ambient intelligence;manufacturing;materials science;materials;building engineering;physical sciences;technological change;technology;emerging technologies;applied and interdisciplinary physics\",\n \"header_image\": \"string\",\n \"created_at\": \"2022-10-19\",\n \"updated_at\": \"2023-03-30\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"John Doe\",\n \"creator_username\": \"john.doe\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": {\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 14,\n \"title\": \"Nanosatellites\"\n },\n {\n \"entity_id\": 15,\n \"title\": \"Nanomanufacturing\"\n },\n {\n \"entity_id\": 28,\n \"title\": \"Atomic layer deposition\"\n }\n ],\n \"type_technology_application\": [\n {\n \"entity_id\": 37,\n \"title\": \"Titanium oxide aerogel composites\"\n }\n ],\n \"itonics_opportunityspace_tr3\": [\n {\n \"entity_id\": 6,\n \"title\": \"Digital Transformation\"\n },\n {\n \"entity_id\": 13,\n \"title\": \"Public analysis of health services\"\n },\n {\n \"entity_id\": 14,\n \"title\": \"Predictive Healthcare\"\n }\n ]\n },\n \"status\": \"Published\",\n \"is_archived\": null,\n \"parent_relation\": {\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 15,\n \"title\": \"Nanomanufacturing\"\n }\n ]\n },\n \"technology_expert_username\": \"john.doe\",\n \"technology_expert_fullname\": \"John Doe\",\n \"field_recommendation\": {\n \"390\": \"Not Applicable\"\n },\n \"field_technology_partner\": [],\n \"title\": \"Nanodevices in IoT\",\n \"abstract\": \"The internet of things (IoT) paradigm has long been considered a key incentive to the Fourth Industrial Revolution with the potential to transform the way we live our lives. Yet its impact promises to be enhanced further through the integration of nanotechnology.\",\n \"description\": \"

The IoT is a system of interrelated physical objects embedded with sensors, antennas, processors, software, and other technologies to enable relevant data exchange over the internet. From pills to guided missiles, the scope of these devices is vast and looks set to grow; predictions for the number of IoT-connected devices in 2025 peak at 75 billion, with tens or possibly hundreds of zettabytes of generated data.

Facilitating such substantial predictions is the development of enabling technologies (including cloud computing and big data analytics) and various communication modes, termed IoT protocols. These protocols enable data exchange between the endpoint devices, such as sensors and the next piece of hardware in the connected environment. They include Bluetooth, Wi-Fi, ZigBee, and Near field communication (NFC) for short distances, low-power wide-area (LPWA) and 5G for long distances.

Arguably, one of the most fascinating developments lies in the integration of nanotechnology. This promises to extend the IoT concept to its fullest through nanodevices and give rise to a whole new IoT derivative, the internet of Nano-Things (IoNT).

Nanodevices

Adopting nanomaterials within IoT devices can make use of their exceptionable properties to increase the functionality, energy efficiency and accuracy of the devices while reducing their size. Nanoantennas, nanoprocessors and nanobatteries are all examples of IoT nanodevices currently being utilized or developed, but within IoT endpoints, nanodevices have found the most use as nanosensors.

\",\n \"number_of_followers\": 1,\n \"followers\": [\n {\n \"uid\": \"string\",\n \"uuid\": \"string\",\n \"full_name\": \"John Doe\",\n \"username\": \"john.doe\"\n }\n ],\n \"number_of_likes\": 0,\n \"liked_by\": null,\n \"number_of_comments\": 0,\n \"number_of_shares\": 0,\n \"number_of_views\": 9,\n \"attachments\": [\n {\n \"path\": \"https://www.azonano.com/article.aspx?ArticleID=5939\",\n \"title\": \"https://www.azonano.com\"\n },\n {\n \"path\": \"https://www.techtarget.com/iotagenda/answer/Where-do-IoT-and-nanotechnology-intersect\",\n \"title\": \"https://www.techtarget.com\"\n }\n ],\n \"rating_info\": {\n \"number_ratings_active\": 0,\n \"number_ratings_inactive\": 0\n }\n }\n ]\n}"}],"_postman_id":"37c9aa71-dd02-4576-a213-5fc94f3fd494"},{"name":"Update date filter","id":"df9d0c14-e6df-4f08-a583-09fd64310d57","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":"{base_url}/api/{entity_type}.json?updated_date_from={YYYY-MM-DD}","description":"

Filters elements updated before (_to) or after (_from) the requested date. Date format: YYYY-MM-DD.

\n","urlObject":{"path":["api","{entity_type}.json"],"host":["{base_url}"],"query":[{"key":"updated_date_from","value":"{YYYY-MM-DD}"}],"variable":[]}},"response":[{"id":"9f866c6d-f5e2-4208-bb7c-c5903b957f1f","name":"Sample request response","originalRequest":{"method":"GET","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"url":{"raw":"{base_url}/api/type_technology_application.json?updated_date_from=2025-07-01&limit=2","host":["{base_url}"],"path":["api","type_technology_application.json"],"query":[{"key":"updated_date_from","value":"2025-07-01"},{"key":"limit","value":"2"}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n \"self\": \"{base_url}/api/type_technology_application.json?updated_date_from=2025-07-01&limit=2\",\n \"first\": \"{base_url}/api/type_technology_application.json?updated_date_from=2025-07-01&limit=2&page=0\",\n \"last\": \"{base_url}/api/type_technology_application.json?updated_date_from=2025-07-01&limit=2&page=3\",\n \"next\": \"{base_url}/api/type_technology_application.json?updated_date_from=2025-07-01&limit=2&page=1\",\n \"list\": [\n {\n \"id\": 141,\n \"generated_id\": \"TEC-APP-557179-141\",\n \"tags\": \"insurance;ai;fraud detection;cost saving\",\n \"header_image\": \"string\",\n \"created_at\": \"2025-07-24\",\n \"updated_at\": \"2025-07-24\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"John Doe\",\n \"creator_username\": \"john.doe\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": [],\n \"status\": \"Draft\",\n \"is_archived\": null,\n \"parent_relation\": {\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 34,\n \"title\": \"Creative AI\"\n }\n ]\n },\n \"technology_expert_username\": \"\",\n \"technology_expert_fullname\": \"\",\n \"field_recommendation\": {\n \"393\": \"Partner\"\n },\n \"field_technology_partner\": [],\n \"title\": \"AI-Enhanced Fraud Detection System\",\n \"abstract\": \"An application that uses Creative AI to detect fraudulent insurance claims. It utilizes machine learning algorithms to identify patterns and anomalies in claims data, helping to prevent insurance fraud and save costs.\",\n \"description\": null,\n \"number_of_followers\": 0,\n \"followers\": null,\n \"number_of_likes\": 0,\n \"liked_by\": null,\n \"number_of_comments\": 0,\n \"number_of_shares\": 0,\n \"number_of_views\": 1,\n \"attachments\": [],\n \"rating_info\": {\n \"number_ratings_active\": 0,\n \"number_ratings_inactive\": 0\n }\n },\n {\n \"id\": 140,\n \"generated_id\": \"TEC-APP-557179-140\",\n \"tags\": \"insurance;ai;underwriting;automation\",\n \"header_image\": \"string\",\n \"created_at\": \"2025-07-24\",\n \"updated_at\": \"2025-07-24\",\n \"creator_uid\": \"string\",\n \"creator_uuid\": \"string\",\n \"creator_fullname\": \"John Doe\",\n \"creator_username\": \"john.doe\",\n \"editor_uid\": \"string\",\n \"editor_uuid\": \"string\",\n \"editor_fullname\": \"Jane Innovation\",\n \"editor_username\": \"jane.innovation\",\n \"relations\": [],\n \"status\": \"Draft\",\n \"is_archived\": null,\n \"parent_relation\": {\n \"itonics_technology_tr3\": [\n {\n \"entity_id\": 34,\n \"title\": \"Creative AI\"\n }\n ]\n },\n \"technology_expert_username\": \"\",\n \"technology_expert_fullname\": \"\",\n \"field_recommendation\": {\n \"393\": \"Partner\"\n },\n \"field_technology_partner\": [],\n \"title\": \"Automated Insurance Underwriting\",\n \"abstract\": \"This technology uses machine learning algorithms to automate the underwriting process. It analyzes vast amounts of data to assess risk and determine the appropriate premium for each customer.\",\n \"description\": null,\n \"number_of_followers\": 0,\n \"followers\": null,\n \"number_of_likes\": 0,\n \"liked_by\": null,\n \"number_of_comments\": 0,\n \"number_of_shares\": 0,\n \"number_of_views\": 0,\n \"attachments\": [],\n \"rating_info\": {\n \"number_ratings_active\": 0,\n \"number_ratings_inactive\": 0\n }\n }\n ]\n}"}],"_postman_id":"df9d0c14-e6df-4f08-a583-09fd64310d57"}],"id":"9ab7b3ad-c444-44eb-9d2f-b0ca217cc1e2","description":"

These controls are used for complex filtering based on field values, text search, or element properties. To retrieve the configuration details (incl. machine names) necessary for filtering by specific field values, use the /api/entity_field_properties.json?type={entity_type} GET endpoint of a particular {entity_type}. Note: Filter values must be URL encoded.

To efficiently slice and query your data set, you can pass multiple supported meta controls and filters along with your GET request, combining them using the & symbol, or using ? character for single parameters, e.g. ?limit=100.

The following section lists all endpoints available for reading (retrieving) data from your ITONICS application via GET requests.

\n","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"event":[{"listen":"prerequest","script":{"id":"38b90f4d-e94f-4a6d-817a-54587460aab9","type":"text/javascript","packages":{},"requests":{},"exec":[""]}},{"listen":"test","script":{"id":"055c40a0-06d4-4e36-8871-1acc14569b87","type":"text/javascript","packages":{},"requests":{},"exec":[""]}}],"_postman_id":"55d40284-4036-4db2-b9b3-af102c421693"},{"name":"POST: Element creation","item":[{"name":"Create (regular) element","id":"9abf012e-754f-49d1-94c4-b3785a9468c7","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"POST","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{ \r\n \"title\": \"string\",\r\n \"abstract\": \"string\",\r\n \"description\": \"string\",\r\n \"field_segment_hierarchy\": {\r\n \"field_segment_hierarchy_entity_segment\": [\"option_id\"],\r\n \"field_segment_hierarchy_entity_sub_segment\": [\"option_id\", \"option_id\"]\r\n },\r\n \"field_list_dropdown\": [\"option_id\"],\r\n \"field_list_dropdown_multiselect\": [\"option_id\", \"option_id\"],\r\n \"field_radio_button\": [\"option_id\"],\r\n \"field_single_checkbox\": 1,\r\n \"field_pearl_chain\": [\"option_id\"],\r\n \"field_single_line_input_text\": \"string\",\r\n \"field_single_line_input_email\": \"string\",\r\n \"field_single_line_input_url\": \"string\",\r\n \"field_single_line_input_number\": \"string\",\r\n \"field_date\": \"MM/DD/YYYY\",\r\n \"field_tags\": [\"string\", \"string\"],\r\n \"field_user_search\": \"username\",\r\n \"field_user_group_search\": {\r\n \"group\": [\"option_id\", \"option_id\"],\r\n \"context\": [\"option_id\", \"option_id\"]\r\n },\r\n \"field_element_search\": {\r\n \"entity_type\": [1, 2]\r\n },\r\n \"field_file_upload\": \"base64_encoded_file\",\r\n \"relations\": {\r\n \"entity_type\": [10, 12]\r\n },\r\n \"status\": 1,\r\n \"is_archived\": 0\r\n}","options":{"raw":{"language":"json"}}},"url":"{base_url}/api/{entity_type}.json","description":"

Creates a new element of the specified {entity_type}. All data for the different fields must be provided in the request body.

Retrieve field configuration details (incl. required machine names) by querying the /api/entity_field_properties.json?type={entity_type} GET endpoint for the relevant {entity_type}.

\n","urlObject":{"path":["api","{entity_type}.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"2055f845-c6ea-46bd-874d-967120605c74","name":"Sample request body","originalRequest":{"method":"POST","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{\r\n \"title\": \"Creative AI\",\r\n \"abstract\": \"Creative AI (CAI) is the branch of artificial intelligence (AI) where a system is enabled to learn, understand, and interpret past datasets, patterns, and trends to deliver human-like creative solutions. CAI is a technological system that performs various tasks, whereas machine learning (ML) is more focused on solving particular problems. CAI delivers automated, creative solutions to a broad range of pursuits like art, music, writing, gaming, and many more. The technology presents various opportunities within data-driven analytics, customer service, and behavior-based predictive marketing. Its current limitations are related to unpredictability, high implementation costs, and requirements for supervised, continuous data integration.\",\r\n \"description\": \"

Implications for Innovation

Examples of art produced using CAI that can potentially rival human art are emerging. This has sparked a debate around the meaning and definition of art that will continue to influence the use and prevalence of the technology.
Organizations will likely need to develop measures to counter the ascendance of sophisticated deepfake CAI media that can spread dis- and misinformation.
Utilized with technologies like Programmatic Advertising, this technology can help provide detailed, tailored marketing content that considers consumer tastes and visual preferences.

How is it a Game Changer?

\",\r\n \"header_image\": \"base_64_encoded_image_string\",\r\n \"technology_segment_hierarchy\": {\r\n \"technology_segment_hierarchy_entity_segment\": [\"27\"],\r\n \"technology_segment_hierarchy_entity_sub_segment\": [\"155\"]\r\n },\r\n \"field_technology_segmentation\": {\r\n \"field_technology_segmentation_entity_segment\": [\"184\"],\r\n \"field_technology_segmentation_entity_sub_segment\": null\r\n },\r\n \"technology_readiness_level\": [\"268\"],\r\n \"internal_status\": [\"253\"],\r\n \"impacted_business_technology\": [\"270\",\"274\"],\r\n \"field_related_projects\": {\r\n \"itonics_innovation_project_tr3\": 63\r\n },\r\n \"field_technology_partner\": {\r\n \"itonics_company_tr3\": 71\r\n },\r\n \"itonics_technology_tags\": [\"artificial intelligence\", \"machine learning\"],\r\n \"relations\": {\r\n \"itonics_trend\": 38\r\n }\r\n}","options":{"raw":{"language":"json"}}},"url":"{base_url}/api/itonics_technology_tr3.json"},"status":"Created","code":201,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Fri, 29 Aug 2025 03:50:12 GMT"},{"key":"Content-Type","value":"application/json","description":"","type":"text"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Connection","value":"keep-alive"},{"key":"Server","value":""},{"key":"Expires","value":"Sun, 19 Nov 1978 05:00:00 GMT"},{"key":"Cache-Control","value":"no-cache, no-store, must-revalidate"},{"key":"pragma","value":"no-cache"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"Content-Security-Policy","value":"default-src 'none'; base-uri 'self'; child-src 'self'; font-src 'self' http: https: data:; form-action 'self' http: https:; img-src * data: blob:; media-src 'self'; manifest-src 'self'; object-src 'none'; frame-src 'self' https://miro.com https://vimeo.com https://forms.office.com https://www.surveymonkey.com https://*.sharepoint.com https://sharepoint.com https://www.youtube.com https://www.youtube-nocookie.com; upgrade-insecure-requests; script-src 'self' 'strict-dynamic' 'nonce-bKTsh6EGpUU0/bec9qa+ULJ7' https: http:; connect-src 'self' maps.googleapis.com piwik.itonicsit.de; style-src * 'unsafe-inline'; worker-src 'self' blob:; sandbox allow-forms allow-scripts allow-same-origin allow-popups allow-downloads allow-modals allow-presentation allow-popups-to-escape-sandbox;"},{"key":"Referrer-Policy","value":"no-referrer, same-origin"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Permissions-Policy","value":"accelerometer=(), autoplay=(), camera=(), encrypted-media=(), fullscreen=(self), geolocation=(), microphone=(), midi=(), payment=(self), display-capture=()"}],"cookie":[],"responseTime":null,"body":"{\n \"uri\": \"{base_url}/api/itonics_technology_tr3.json/{element_id}.json\",\n \"id\": \"{element_id}\",\n \"resource\": \"itonics_technology_tr3\"\n}"}],"_postman_id":"9abf012e-754f-49d1-94c4-b3785a9468c7"},{"name":"Create submission (in campaign)","id":"a3c9b5c9-5aa9-4854-b1e7-67b170ed5f93","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"POST","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{\r\n \"title\": \"string\",\r\n \"abstract\": \"string\",\r\n \"description\":\"string\",\r\n \"itonics_idea_header_image\": \"base_64_encoded_image_string\",\r\n \"entity_authors\": [\"username\", \"username\"],\r\n \"itoncis_idea_tags\": [\"string\", \"string\"],\r\n \"relations\":{\r\n \"itonics_campaign_tr3\": 55\r\n },\r\n \"status\": 1\r\n}","options":{"raw":{"language":"json"}}},"url":"{base_url}/api/itonics_idea.json","description":"

Creates a new submission/idea element of type itonics_idea. All data for the different fields must be provided in the request body.

Supported fields are currently limited to submission defaults (Title, Abstract, Authors, Tags, Header Image, Description), no custom submission fields. Retrieve field configuration details (incl. required machine names) by querying the /api/entity_field_properties.json?type=itonics_idea GET endpoint.

Mandatory field values: Title, Abstract, Authors (multi-select), and a valid campaign_id (single-select), and Tags, Description, and Header Image if set as required.

Status handling:

status: 0 (Draft): Created as Draft, phase information is ignored
\n
status: 1 or >0 (Published)
\n
Status not provided: Created as Published (time-bound campaign = active phase, and always-on campaign = first phase)
\n

Phase handling: Including phase_id and status in the POST request automatically publishes the submission element. Provided phase_id is ignored, and the assignment is handled automatically: time-bound campaign = active phase, and always-on campaign = first phase.

Further information: You can publish submissions to a campaign that is inactive (e.g., not yet started or past its end date), but publishing to a campaign in Draft status is not allowed.

\n","urlObject":{"path":["api","itonics_idea.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"5510cd20-49bf-4abe-8d09-0b4f9e9fa1f2","name":"Sample request response","originalRequest":{"method":"POST","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{\r\n \"title\": \"Gesture Recognition System for Smart Homes\",\r\n \"abstract\": \"Design a gesture recognition system using advanced sensors (such as cameras and motion detectors) to enable hands-free control of smart home devices. Users could perform simple gestures to adjust lighting, temperature, and entertainment systems, enhancing convenience and accessibility.\",\r\n \"description\":\"

Introduction: Imagine walking into your home and effortlessly controlling lights, appliances, and entertainment systems with simple hand gestures. Welcome to the future of home automation, where the Gesture Recognition System for Smart Homes revolutionizes the way we interact with our living spaces. This cutting-edge technology leverages advanced sensors and artificial intelligence to enable intuitive, hands-free control of smart devices, enhancing convenience, comfort, and energy efficiency.

The Concept: The Gesture Recognition System for Smart Homes is a sophisticated integration of gesture recognition technology with smart home automation systems. By incorporating sensors such as cameras, depth sensors, and infrared detectors, the system detects and interprets hand gestures made by occupants within the home environment. These gestures serve as intuitive commands to control various aspects of home automation, including lighting, thermostats, audiovisual equipment, security systems, and more.

How It Works: The Gesture Recognition System for Smart Homes operates through a seamless process of gesture detection, interpretation, and device control.

Gesture Detection: Advanced sensors installed throughout the home environment continuously monitor for hand movements and gestures made by occupants. These sensors capture spatial and temporal information about the gestures, including hand position, trajectory, and velocity.
Gesture Interpretation: A sophisticated gesture recognition algorithm analyzes the sensor data in real-time, identifying and classifying specific gestures based on predefined gesture patterns. The algorithm accounts for variations in gesture execution, adapting to different users' preferences and environmental conditions.
Device Control: Once a gesture is recognized and classified, the system translates it into corresponding commands for smart home devices. For example, a sweeping motion with the hand might adjust the lighting intensity, while a circular motion might control the volume of an audio system. The system executes these commands seamlessly, providing immediate feedback to the user.

Key Features:

Intuitive Control: The Gesture Recognition System offers a natural and intuitive interface for interacting with smart home devices, eliminating the need for physical buttons or voice commands.
Hands-Free Operation: By enabling gesture-based control, the system allows users to operate smart devices without the need to physically touch them, promoting convenience and hygiene, especially in high-traffic areas.
Customizable Gestures: Users have the flexibility to define and customize gesture commands according to their preferences, tailoring the system to their unique needs and habits.
Adaptive Learning: The system employs machine learning techniques to adapt and refine gesture recognition algorithms over time, improving accuracy and responsiveness based on user feedback and usage patterns.
Compatibility: The Gesture Recognition System is designed to seamlessly integrate with existing smart home automation platforms and devices, ensuring compatibility with a wide range of products and protocols.

Potential Impact: The Gesture Recognition System for Smart Homes has the potential to redefine the way we interact with our living spaces, making home automation more accessible, intuitive, and user-friendly. By eliminating barriers to control and enhancing the user experience, the system promotes greater adoption of smart home technologies, leading to increased energy efficiency, convenience, and comfort for occupants.

Conclusion: In a world where technology increasingly shapes our daily lives, the Gesture Recognition System for Smart Homes represents a paradigm shift in home automation, empowering users with seamless and intuitive control over their living environments. With its advanced sensor technology, artificial intelligence algorithms, and user-centric design, the system heralds a new era of smart living, where homes adapt and respond to occupants' needs with unprecedented ease and sophistication. Embrace the future of home automation with the Gesture Recognition System – where gestures speak louder than words.

\",\r\n \"itonics_idea_header_image\": \"base_64_encoded_image_string\",\r\n \"entity_authors\": [\"john.doe\", \"jane.innovation\"],\r\n \"itoncis_idea_tags\": [\"gesture recognition\", \"motion detector\"],\r\n \"relations\":{\r\n \"itonics_campaign_tr3\": 55\r\n },\r\n \"field_1234\": \"Dummy content for a custom submission field\",\r\n \"status\": 1\r\n}","options":{"raw":{"language":"json"}}},"url":"{base_url}/api/itonics_idea.json"},"status":"Created","code":201,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Thu, 28 Aug 2025 12:44:12 GMT"},{"key":"Content-Type","value":"application/json","description":"","type":"text"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Connection","value":"keep-alive"},{"key":"Server","value":""},{"key":"Expires","value":"Sun, 19 Nov 1978 05:00:00 GMT"},{"key":"Cache-Control","value":"no-cache, no-store, must-revalidate"},{"key":"pragma","value":"no-cache"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"Content-Security-Policy","value":"default-src 'none'; base-uri 'self'; child-src 'self'; font-src 'self' http: https: data:; form-action 'self' http: https:; img-src * data: blob:; media-src 'self'; manifest-src 'self'; object-src 'none'; frame-src 'self' https://miro.com https://vimeo.com https://forms.office.com https://www.surveymonkey.com https://*.sharepoint.com https://sharepoint.com https://www.youtube.com https://www.youtube-nocookie.com; upgrade-insecure-requests; script-src 'self' 'strict-dynamic' 'nonce-+nNAuq+dHJKn5tP6BZsFqNtZ' https: http:; connect-src 'self' maps.googleapis.com piwik.itonicsit.de; style-src * 'unsafe-inline'; worker-src 'self' blob:; sandbox allow-forms allow-scripts allow-same-origin allow-popups allow-downloads allow-modals allow-presentation allow-popups-to-escape-sandbox;"},{"key":"Referrer-Policy","value":"no-referrer, same-origin"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Permissions-Policy","value":"accelerometer=(), autoplay=(), camera=(), encrypted-media=(), fullscreen=(self), geolocation=(), microphone=(), midi=(), payment=(self), display-capture=()"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n \"uri\": \"{base_url}/api/itonics_idea.json/{submission_id}.json\",\n \"id\": \"{submission_id}\",\n \"resource\": \"itonics_idea\"\n}"}],"_postman_id":"a3c9b5c9-5aa9-4854-b1e7-67b170ed5f93"},{"name":"Create child element","id":"cb93e3d8-e572-4299-84a3-5d57da30b350","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"POST","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{ \r\n \"title\": \"string\",\r\n \"abstract\": \"string\",\r\n \"description\": \"string\",\r\n \"field_segment_hierarchy\": {\r\n \"field_segment_hierarchy_entity_segment\": [\"option_id\"],\r\n \"field_segment_hierarchy_entity_sub_segment\": [\"option_id\", \"option_id\"]\r\n },\r\n \"field_list_dropdown\": [\"option_id\"],\r\n \"field_list_dropdown_multiselect\": [\"option_id\", \"option_id\"],\r\n \"field_radio_button\": [\"option_id\"],\r\n \"field_single_checkbox\": 1,\r\n \"field_pearl_chain\": [\"option_id\"],\r\n \"field_single_line_input_text\": \"string\",\r\n \"field_single_line_input_email\": \"string\",\r\n \"field_single_line_input_url\": \"string\",\r\n \"field_single_line_input_number\": \"string\",\r\n \"field_date\": \"MM/DD/YYYY\",\r\n \"field_tags\": [\"string\", \"string\"],\r\n \"field_user_search\": \"username\",\r\n \"field_user_group_search\": {\r\n \"group\": [\"option_id\", \"option_id\"],\r\n \"context\": [\"option_id\", \"option_id\"]\r\n },\r\n \"field_element_search\": {\r\n \"entity_type\": [1, 2]\r\n },\r\n \"field_file_upload\": \"base64_encoded_file\",\r\n \"relations\": {\r\n \"entity_type\": [10, 12]\r\n },\r\n \"status\": 1,\r\n \"is_archived\": 0,\r\n \"parent_relation\": 15\r\n}","options":{"raw":{"language":"json"}}},"url":"{base_url}/api/{entity_type}.json","description":"

Creates a new child element of type {entity_type} if configured as a child entity type. In this case, it is mandatory to provide a relation to an element of the parent entity type configured in the application.

\n","urlObject":{"path":["api","{entity_type}.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"88106c6e-ab1c-4b1c-9ba0-94be97ca04a3","name":"Sample request body","originalRequest":{"method":"POST","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{\r\n \"title\": \"Creative AI\",\r\n \"abstract\": \"Creative AI (CAI) is the branch of artificial intelligence (AI) where a system is enabled to learn, understand, and interpret past datasets, patterns, and trends to deliver human-like creative solutions. CAI is a technological system that performs various tasks, whereas machine learning (ML) is more focused on solving particular problems. CAI delivers automated, creative solutions to a broad range of pursuits like art, music, writing, gaming, and many more. The technology presents various opportunities within data-driven analytics, customer service, and behavior-based predictive marketing. Its current limitations are related to unpredictability, high implementation costs, and requirements for supervised, continuous data integration.\",\r\n \"description\": \"

Implications for Innovation

Examples of art produced using CAI that can potentially rival human art are emerging. This has sparked a debate around the meaning and definition of art that will continue to influence the use and prevalence of the technology.
Organizations will likely need to develop measures to counter the ascendance of sophisticated deepfake CAI media that can spread dis- and misinformation.
Utilized with technologies like Programmatic Advertising, this technology can help provide detailed, tailored marketing content that considers consumer tastes and visual preferences.

How is it a Game Changer?

\",\r\n \"technology_segment_hierarchy\": {\r\n \"technology_segment_hierarchy_entity_segment\": [\"27\"],\r\n \"technology_segment_hierarchy_entity_sub_segment\": [\"155\"]\r\n },\r\n \"field_technology_segmentation\": {\r\n \"field_technology_segmentation_entity_segment\": [\"184\"],\r\n \"field_technology_segmentation_entity_sub_segment\": null\r\n },\r\n \"technology_readiness_level\": [\"268\"],\r\n \"internal_status\": [\"253\"],\r\n \"impacted_business_technology\": [\"270\",\"274\"],\r\n \"field_related_projects\": {\r\n \"itonics_innovation_project_tr3\": 63\r\n },\r\n \"field_technology_partner\": {\r\n \"itonics_company_tr3\": 71\r\n },\r\n \"itonics_technology_tags\": [\"artificial intelligence\", \"machine learning\"],\r\n \"relations\": {\r\n \"itonics_trend\": 38\r\n },\r\n \"parent_relation\": 34\r\n}","options":{"raw":{"language":"json"}}},"url":"{base_url}/api/itonics_technology_tr3.json"},"status":"Created","code":201,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Fri, 29 Aug 2025 07:02:13 GMT"},{"key":"Content-Type","value":"application/json","description":"","type":"text"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Connection","value":"keep-alive"},{"key":"Server","value":""},{"key":"Expires","value":"Sun, 19 Nov 1978 05:00:00 GMT"},{"key":"Cache-Control","value":"no-cache, no-store, must-revalidate"},{"key":"pragma","value":"no-cache"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"Content-Security-Policy","value":"default-src 'none'; base-uri 'self'; child-src 'self'; font-src 'self' http: https: data:; form-action 'self' http: https:; img-src * data: blob:; media-src 'self'; manifest-src 'self'; object-src 'none'; frame-src 'self' https://miro.com https://vimeo.com https://forms.office.com https://www.surveymonkey.com https://*.sharepoint.com https://sharepoint.com https://www.youtube.com https://www.youtube-nocookie.com; upgrade-insecure-requests; script-src 'self' 'strict-dynamic' 'nonce-k4PaV76B3axhc5W9RWdb6WVT' https: http:; connect-src 'self' maps.googleapis.com piwik.itonicsit.de; style-src * 'unsafe-inline'; worker-src 'self' blob:; sandbox allow-forms allow-scripts allow-same-origin allow-popups allow-downloads allow-modals allow-presentation allow-popups-to-escape-sandbox;"},{"key":"Referrer-Policy","value":"no-referrer, same-origin"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Permissions-Policy","value":"accelerometer=(), autoplay=(), camera=(), encrypted-media=(), fullscreen=(self), geolocation=(), microphone=(), midi=(), payment=(self), display-capture=()"}],"cookie":[],"responseTime":null,"body":"{\n \"uri\": \"{base_url}/api/itonics_technology_tr3.json/{element_id}.json\",\n \"id\": \"{element_id}\",\n \"resource\": \"itonics_technology_tr3\"\n}"}],"_postman_id":"cb93e3d8-e572-4299-84a3-5d57da30b350"}],"id":"8aff3a19-006c-47dc-b13b-573923a51b4a","description":"

The following section lists all endpoints available for creating element data in your ITONICS application via POST requests.

Unlike GET requests, these operations require a specific JSON body and proper X-CSRF token authentication to successfully modify resources in your ITONICS application. These writing operations are essential for automated data injection and synchronization within your ITONICS application.

\n","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"event":[{"listen":"prerequest","script":{"id":"bec7652d-1f74-42e3-a3a8-0fb1ca4f7b32","type":"text/javascript","packages":{},"requests":{},"exec":[""]}},{"listen":"test","script":{"id":"4d750e30-d4cd-4b92-b09d-8a0bd9dc3034","type":"text/javascript","packages":{},"requests":{},"exec":[""]}}],"_postman_id":"8aff3a19-006c-47dc-b13b-573923a51b4a"},{"name":"PUT: Element update","item":[{"name":"Update (regular) element","id":"4e919bb9-1d81-49f7-8967-f70ae23ab52f","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"PUT","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{ \r\n \"title\": \"string\",\r\n \"abstract\": \"string\",\r\n \"description\": \"string\",\r\n \"field_segment_hierarchy\": {\r\n \"field_segment_hierarchy_entity_segment\": [\"option_id\"],\r\n \"field_segment_hierarchy_entity_sub_segment\": [\"option_id\", \"option_id\"]\r\n },\r\n \"field_list_dropdown\": [\"option_id\"],\r\n \"field_list_dropdown_multiselect\": [\"option_id\", \"option_id\"],\r\n \"field_radio_button\": [\"option_id\"],\r\n \"field_single_checkbox\": 1,\r\n \"field_pearl_chain\": [\"option_id\"],\r\n \"field_single_line_input_text\": \"string\",\r\n \"field_single_line_input_email\": \"string\",\r\n \"field_single_line_input_url\": \"string\",\r\n \"field_single_line_input_number\": \"string\",\r\n \"field_date\": \"MM/DD/YYYY\",\r\n \"field_tags\": [\"string\", \"string\"],\r\n \"field_user_search\": \"username\",\r\n \"field_user_group_search\": {\r\n \"group\": [\"option_id\", \"option_id\"],\r\n \"context\": [\"option_id\", \"option_id\"]\r\n },\r\n \"field_element_search\": {\r\n \"entity_type\": [1, 2]\r\n },\r\n \"field_file_upload\": \"base64_encoded_file\",\r\n \"relations\": {\r\n \"entity_type\": [10, 12]\r\n }\r\n}","options":{"raw":{"language":"json"}}},"url":"{base_url}/api/{entity_type}/{element_id}.json","description":"

Updates the element of type {entity_type} matching the URI {id}. Note: An error is returned if the ID does not exist. All attributes of the element are updated/overwritten, while all data for the different fields must be provided in the request body.

Retrieve field configuration details (incl. required machine names) by querying the /api/entity_field_properties.json?type={entity_type} GET endpoint for the relevant {entity_type}.

\n","urlObject":{"path":["api","{entity_type}","{element_id}.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"727ca383-a426-4218-a0ba-c49be3eb13a4","name":"Sample request body","originalRequest":{"method":"PUT","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{\r\n \"title\": \"Creative AI\",\r\n \"abstract\": \"Creative AI (CAI) is the branch of artificial intelligence (AI) where a system is enabled to learn, understand, and interpret past datasets, patterns, and trends to deliver human-like creative solutions. CAI is a technological system that performs various tasks, whereas machine learning (ML) is more focused on solving particular problems. CAI delivers automated, creative solutions to a broad range of pursuits like art, music, writing, gaming, and many more. The technology presents various opportunities within data-driven analytics, customer service, and behavior-based predictive marketing. Its current limitations are related to unpredictability, high implementation costs, and requirements for supervised, continuous data integration.\",\r\n \"description\": \"

Implications for Innovation

Examples of art produced using CAI that can potentially rival human art are emerging. This has sparked a debate around the meaning and definition of art that will continue to influence the use and prevalence of the technology.
Organizations will likely need to develop measures to counter the ascendance of sophisticated deepfake CAI media that can spread dis- and misinformation.
Utilized with technologies like Programmatic Advertising, this technology can help provide detailed, tailored marketing content that considers consumer tastes and visual preferences.

How is it a Game Changer?

\",\r\n \"technology_segment_hierarchy\": {\r\n \"technology_segment_hierarchy_entity_segment\": [\"27\", \"10\"],\r\n \"technology_segment_hierarchy_entity_sub_segment\": [\"155\", \"53\"]\r\n },\r\n \"internal_status\": [\"254\"],\r\n \"field_related_projects\": {\r\n \"itonics_innovation_project_tr3\": [63, 14]\r\n },\r\n \"itonics_technology_tags\": [\"artificial intelligence\", \"machine learning\", \"deep learning\"]\r\n}","options":{"raw":{"language":"json"}}},"url":"{base_url}/api/itonics_technology_tr3/34.json"},"status":"OK","code":200,"_postman_previewlanguage":"Text","header":[{"key":"Date","value":"Fri, 29 Aug 2025 05:42:20 GMT"},{"key":"Content-Type","value":"application/json"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Connection","value":"keep-alive"},{"key":"Server","value":""},{"key":"Expires","value":"Sun, 19 Nov 1978 05:00:00 GMT"},{"key":"Cache-Control","value":"no-cache, no-store, must-revalidate"},{"key":"pragma","value":"no-cache"},{"key":"Set-Cookie","value":"SAMLSSOSessionID=63a6a90c1aacc0bc996804ec353b45fa; expires=Fri, 29 Aug 2025 06:42:19 GMT; Max-Age=3600; path=/; domain=.regression321.stage.itonicsit.de; HttpOnly"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"Content-Security-Policy","value":"default-src 'none'; base-uri 'self'; child-src 'self'; font-src 'self' http: https: data:; form-action 'self' http: https:; img-src * data: blob:; media-src 'self'; manifest-src 'self'; object-src 'none'; frame-src 'self' https://miro.com https://vimeo.com https://forms.office.com https://www.surveymonkey.com https://*.sharepoint.com https://sharepoint.com https://www.youtube.com https://www.youtube-nocookie.com; upgrade-insecure-requests; script-src 'self' 'strict-dynamic' 'nonce-bHVCb4BaNCDVa15JLgL7ym/a' https: http:; connect-src 'self' maps.googleapis.com piwik.itonicsit.de; style-src * 'unsafe-inline'; worker-src 'self' blob:; sandbox allow-forms allow-scripts allow-same-origin allow-popups allow-downloads allow-modals allow-presentation allow-popups-to-escape-sandbox;"},{"key":"Referrer-Policy","value":"no-referrer, same-origin"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Permissions-Policy","value":"accelerometer=(), autoplay=(), camera=(), encrypted-media=(), fullscreen=(self), geolocation=(), microphone=(), midi=(), payment=(self), display-capture=()"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"[]"}],"_postman_id":"4e919bb9-1d81-49f7-8967-f70ae23ab52f"},{"name":"Update submission (in campaign)","id":"07fb2aaa-0d39-4741-808e-199874442ce8","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"PUT","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{\r\n \"title\": \"string\",\r\n \"abstract\": \"string\",\r\n \"description\":\"string\",\r\n \"itonics_idea_header_image\": \"base_64_encoded_image_string\",\r\n \"entity_authors\": [\"username\", \"username\", \"username\"],\r\n \"itoncis_idea_tags\": [\"string\", \"string\", \"string\"],\r\n \"relations\":{\r\n \"itonics_campaign_tr3\": 67\r\n }\r\n}","options":{"raw":{"language":"json"}}},"url":"{base_url}/api/itonics_idea/{submission_id}.json","description":"

Updates the submission element matching the URI {id}. Note: An error is returned if the ID does not exist. All attributes of the element are updated/overwritten, while all data for the different fields must be provided in the request body.

Supported fields are currently limited to submission defaults (Title, Abstract, Authors, Tags, Header Image, Description), no custom submission fields. Retrieve field configuration details (incl. required machine names) by querying the /api/entity_field_properties.json?type=itonics_idea GET endpoint.

Status handling:

Status: 0 (Draft): Status remains Draft unless explicitly changed

No phase_id required (note: phase_id can be retrieved from campaign GET endpoint)
\n
Only field data is updated, status remains unchanged unless explicitly set
\n

Status: 1 or >0 (Published): Status remains Published unless explicitly changed

Published submission cannot be updated back to Draft status
\n
Remains in the active phase (time-bound) or first phase (always-on)
\n

Phase handling:

Valid phase_id:

Always-on campaigns: Submissions can be moved to a valid phase_id. Updating to/from the Declined phase is possible (except updating from Declined to a phase other than the first)
\n
Time-bound campaigns: Phase assignment is ignored, the submission remains in the active phase
\n

Invalid phase_id:

Draft submission gets published
\n
Published submission remains published and stays in active- (time-bound) or first phase (always-on)
\n
Field data are updated as expected
\n

Further information: You can update submissions of an inactive campaign (not yet started, or end date exceeded). However, updating the campaign_id via PUT is not possible, while the campaign_id is not mandatory when updating a submission.

\n","urlObject":{"path":["api","itonics_idea","{submission_id}.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"6bb8a04d-baa7-4b9c-bc11-649ed2ae2dd3","name":"Sample request body","originalRequest":{"method":"PUT","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{\r\n \"title\": \"Gesture Recognition System for Smart Homes\",\r\n \"abstract\": \"Design a gesture recognition system using advanced sensors (such as cameras and motion detectors) to enable hands-free control of smart home devices. Users could perform simple gestures to adjust lighting, temperature, and entertainment systems, enhancing convenience and accessibility.\",\r\n \"entity_authors\": [\"john.doe\", \"jane.innovation\", \"itonics.admin\"],\r\n \"itoncis_idea_tags\": [\"gesture recognition\", \"motion detector\", \"smart home\"],\r\n \"relations\":{\r\n \"itonics_campaign_tr3\": 67\r\n },\r\n \"field_1234\": \"Updated dummy content for a custom submission field\"\r\n}","options":{"raw":{"language":"json"}}},"url":"{base_url}/api/itonics_idea/124"},"status":"OK","code":200,"_postman_previewlanguage":"Text","header":[{"key":"Date","value":"Thu, 28 Aug 2025 12:52:17 GMT"},{"key":"Content-Type","value":"application/json"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Connection","value":"keep-alive"},{"key":"Server","value":""},{"key":"Expires","value":"Sun, 19 Nov 1978 05:00:00 GMT"},{"key":"Cache-Control","value":"no-cache, no-store, must-revalidate"},{"key":"pragma","value":"no-cache"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"Content-Security-Policy","value":"default-src 'none'; base-uri 'self'; child-src 'self'; font-src 'self' http: https: data:; form-action 'self' http: https:; img-src * data: blob:; media-src 'self'; manifest-src 'self'; object-src 'none'; frame-src 'self' https://miro.com https://vimeo.com https://forms.office.com https://www.surveymonkey.com https://*.sharepoint.com https://sharepoint.com https://www.youtube.com https://www.youtube-nocookie.com; upgrade-insecure-requests; script-src 'self' 'strict-dynamic' 'nonce-H1mHJPtPlL1Q9BnK+ctbf+JH' https: http:; connect-src 'self' maps.googleapis.com piwik.itonicsit.de; style-src * 'unsafe-inline'; worker-src 'self' blob:; sandbox allow-forms allow-scripts allow-same-origin allow-popups allow-downloads allow-modals allow-presentation allow-popups-to-escape-sandbox;"},{"key":"Referrer-Policy","value":"no-referrer, same-origin"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Permissions-Policy","value":"accelerometer=(), autoplay=(), camera=(), encrypted-media=(), fullscreen=(self), geolocation=(), microphone=(), midi=(), payment=(self), display-capture=()"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"[]"}],"_postman_id":"07fb2aaa-0d39-4741-808e-199874442ce8"},{"name":"Update child element","id":"075d970e-d341-4456-a3c0-82256dc91d89","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"PUT","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{ \r\n \"title\": \"string\",\r\n \"abstract\": \"string\",\r\n \"description\": \"string\",\r\n \"field_segment_hierarchy\": {\r\n \"field_segment_hierarchy_entity_segment\": [\"option_id\"],\r\n \"field_segment_hierarchy_entity_sub_segment\": [\"option_id\", \"option_id\"]\r\n },\r\n \"field_list_dropdown\": [\"option_id\"],\r\n \"field_list_dropdown_multiselect\": [\"option_id\", \"option_id\"],\r\n \"field_radio_button\": [\"option_id\"],\r\n \"field_single_checkbox\": 1,\r\n \"field_pearl_chain\": [\"option_id\"],\r\n \"field_single_line_input_text\": \"string\",\r\n \"field_single_line_input_email\": \"string\",\r\n \"field_single_line_input_url\": \"string\",\r\n \"field_single_line_input_number\": \"string\",\r\n \"field_date\": \"MM/DD/YYYY\",\r\n \"field_tags\": [\"string\", \"string\"],\r\n \"field_user_search\": \"username\",\r\n \"field_user_group_search\": {\r\n \"group\": [\"option_id\", \"option_id\"],\r\n \"context\": [\"option_id\", \"option_id\"]\r\n },\r\n \"field_element_search\": {\r\n \"entity_type\": [1, 2]\r\n },\r\n \"field_file_upload\": \"base64_encoded_file\",\r\n \"relations\": {\r\n \"entity_type\": [10, 12]\r\n },\r\n \"parent_relation\": 16\r\n}","options":{"raw":{"language":"json"}}},"url":"{base_url}/api/{entity_type}/{element_id}.json","description":"

Updates a given child element of type {entity_type} (if configured as a child entity type) where the URI is {id}.

\n","urlObject":{"path":["api","{entity_type}","{element_id}.json"],"host":["{base_url}"],"query":[],"variable":[]}},"response":[{"id":"395eebb7-7311-4186-bd4f-3011cbc8d9ef","name":"Sample request body","originalRequest":{"method":"PUT","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{\r\n \"title\": \"Creative AI\",\r\n \"abstract\": \"Creative AI (CAI) is the branch of artificial intelligence (AI) where a system is enabled to learn, understand, and interpret past datasets, patterns, and trends to deliver human-like creative solutions. CAI is a technological system that performs various tasks, whereas machine learning (ML) is more focused on solving particular problems. CAI delivers automated, creative solutions to a broad range of pursuits like art, music, writing, gaming, and many more. The technology presents various opportunities within data-driven analytics, customer service, and behavior-based predictive marketing. Its current limitations are related to unpredictability, high implementation costs, and requirements for supervised, continuous data integration.\",\r\n \"description\": \"

Implications for Innovation

Examples of art produced using CAI that can potentially rival human art are emerging. This has sparked a debate around the meaning and definition of art that will continue to influence the use and prevalence of the technology.
Organizations will likely need to develop measures to counter the ascendance of sophisticated deepfake CAI media that can spread dis- and misinformation.
Utilized with technologies like Programmatic Advertising, this technology can help provide detailed, tailored marketing content that considers consumer tastes and visual preferences.

How is it a Game Changer?

\",\r\n \"technology_segment_hierarchy\": {\r\n \"technology_segment_hierarchy_entity_segment\": [\"27\", \"10\"],\r\n \"technology_segment_hierarchy_entity_sub_segment\": [\"155\", \"53\"]\r\n },\r\n \"internal_status\": [\"254\"],\r\n \"field_related_projects\": {\r\n \"itonics_innovation_project_tr3\": [63, 14]\r\n },\r\n \"itonics_technology_tags\": [\"artificial intelligence\", \"machine learning\", \"deep learning\"],\r\n \"parent_relation\": 47\r\n}","options":{"raw":{"language":"json"}}},"url":"{base_url}/api/itonics_technology_tr3/34.json"},"status":"OK","code":200,"_postman_previewlanguage":"Text","header":[{"key":"Date","value":"Fri, 29 Aug 2025 06:57:58 GMT"},{"key":"Content-Type","value":"application/json"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Connection","value":"keep-alive"},{"key":"Server","value":""},{"key":"Expires","value":"Sun, 19 Nov 1978 05:00:00 GMT"},{"key":"Cache-Control","value":"no-cache, no-store, must-revalidate"},{"key":"pragma","value":"no-cache"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"Content-Security-Policy","value":"default-src 'none'; base-uri 'self'; child-src 'self'; font-src 'self' http: https: data:; form-action 'self' http: https:; img-src * data: blob:; media-src 'self'; manifest-src 'self'; object-src 'none'; frame-src 'self' https://miro.com https://vimeo.com https://forms.office.com https://www.surveymonkey.com https://*.sharepoint.com https://sharepoint.com https://www.youtube.com https://www.youtube-nocookie.com; upgrade-insecure-requests; script-src 'self' 'strict-dynamic' 'nonce-DTYXgwiEWN49c0zLU39sjj+M' https: http:; connect-src 'self' maps.googleapis.com piwik.itonicsit.de; style-src * 'unsafe-inline'; worker-src 'self' blob:; sandbox allow-forms allow-scripts allow-same-origin allow-popups allow-downloads allow-modals allow-presentation allow-popups-to-escape-sandbox;"},{"key":"Referrer-Policy","value":"no-referrer, same-origin"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Permissions-Policy","value":"accelerometer=(), autoplay=(), camera=(), encrypted-media=(), fullscreen=(self), geolocation=(), microphone=(), midi=(), payment=(self), display-capture=()"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"[]"}],"_postman_id":"075d970e-d341-4456-a3c0-82256dc91d89"},{"name":"Update table data of an element","id":"ce2adbd1-c305-4016-9bba-692500c399f5","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{access_token}}"}]},"isInherited":false},"method":"PUT","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"}],"body":{"mode":"raw","raw":"{\r\n \"table_machine_name\": {\r\n \"rows\": {\r\n \"option_id\": {\r\n \"label\": \"string\",\r\n \"column_data\": {\r\n \"option_id_1\": \"string\",\r\n \"option_id_2\": \"string\"\r\n }\r\n }\r\n }\r\n }\r\n}","options":{"raw":{"language":"json"}}},"url":"{base_url}/api/table_data.json?entity_type={entity_type}&entity_id={entity_id}","description":"

Updates the table data of an element matching the URI {id}. Note: An error is returned if the ID does not exist. All data information about different fields to be updated must be provided in the request body.

Supported field types in a table structure are currently text fields, dropdown fields, percentage fields, element fields, user search fields, and date picker fields.

The requested body must maintain the hierarchy of a table structure: table_machine_name -> rows -> option_key -> column_data.

Note: Multiple rows and multiple column fields can be updated within a single PUT request by adding additional keys to the rows or column_data objects.

\n","urlObject":{"path":["api","table_data.json"],"host":["{base_url}"],"query":[{"key":"entity_type","value":"{entity_type}"},{"key":"entity_id","value":"{entity_id}"}],"variable":[]}},"response":[{"id":"5889c6c6-eaeb-4e66-9c1a-79094cc689aa","name":"Sample request response","originalRequest":{"method":"PUT","header":[{"key":"X-CSRF-Token","value":"{{access_token}}","type":"text"},{"key":"Content-Type","value":"application/x-www-form-urlencoded","type":"text"}],"body":{"mode":"raw","raw":"{\r\n \"table_machine_name\": {\r\n \"rows\": {\r\n \"2\": {\r\n \"column_data\": {\r\n \"ability_to_cope\": \"low\",\r\n \"occurrence_score\": \"50\",\r\n \"impact score\": \"100\"\r\n }\r\n }\r\n }\r\n }\r\n}"},"url":{"raw":"{base_url}/api/table_data.json?entity_type=itonics_innovation_project_tr3&entity_id=12","host":["{base_url}"],"path":["api","table_data.json"],"query":[{"key":"entity_type","value":"itonics_innovation_project_tr3"},{"key":"entity_id","value":"12"}]}},"_postman_previewlanguage":null,"header":null,"cookie":[],"responseTime":null,"body":"[]"}],"_postman_id":"ce2adbd1-c305-4016-9bba-692500c399f5"}],"id":"d1ba7da6-892a-4379-8db4-a263b857b4cb","description":"

The following section lists all endpoints available for updating element data in your ITONICS application via PUT requests.

When using and testing the API, you must check the returned HTTP status code, the response message, and the response body to verify success or diagnose errors. Below is a list of common HTTP status codes you may encounter while using and testing the API:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

HTTP status code	Response	Details
200	200 OK	The request (typically a GET or PUT) was processed successfully, and a response was generated.
201	201 Created	The request (typically a POST/Create) has been fulfilled and has resulted in one or more new resources being created successfully.
400	400 Bad Request	The server could not process the request, likely due to a malformed request syntax, missing required data, or addressing the wrong endpoint, e.g. missing `_{}_` brackets, which would be indicated by ‘‘Invalid JSON\".
401	401 Unauthorized	The request requires user authentication. This is often returned if the user is not authenticated (e.g., missing or invalid token/Basic Auth).
403	403 Forbidden / Restricted	The request was valid and understood, but the server is refusing action. This usually means the API user lacks the necessary permissions for the resource, is blocked, or is attempting a prohibited action (e.g., creating a duplicate unique record). This code is also typically used if the request provided authentication via the WWW-Authenticate header field, but the server did not accept that authentication. The request should not be repeated.
404	404 Not Found	The requested resource (via ID or endpoint URL) could not be found, but may be available via a future request. Subsequent requests by the client are permissible.
406	406 Not Acceptable	The requested resource can only generate content types that do not match the Accept headers sent in the request.
412	412 Precondition Failed	The server does not meet one of the conditions specified by the client in the request header fields.
422	422 Unprocessable Entity	The request was well-formed but could not be processed due to semantic errors (e.g., invalid data types, non-existent entity references, and/or missing mandatory fields).
500	500 Internal Server Error	A generic error indicating an unexpected condition was encountered on the server, and no more specific message is suitable.

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