AI Studios - Explore Experience Resources (Flattened) | AISquare Studio

import requests
url = "https://api.example.com/api/v1/aistudios/experiences/flattened/"
payload = { "url": "ai-research-studio" }
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.json())

{
  "count": 123,
  "results": [
    {
      "experience_id": 101,
      "experience_uid": "exp_ml_2024_001",
      "experience_title": "Cutting-Edge NLP Techniques",
      "experience_description": "Exploring the latest advancements in natural language processing and transformer models.",
      "resource_type": "AI_NOTE",
      "resource_id": 205,
      "resource_uid": "note_nlp_205",
      "resource_title": "Transformer Architectures Explained",
      "cover_image": "https://aistudios.example.com/media/resources/note_205_cover.jpg",
      "experience_type_logo": "https://aistudios.example.com/media/icons/note_logo.png",
      "experience_type_cover": "https://aistudios.example.com/media/covers/note_cover.jpg",
      "publication_id": 12,
      "publication_title": "AI Research Studio",
      "publication_logo": "https://aistudios.example.com/media/publications/ai_research_studio_logo.png",
      "publication_custom_url": "ai-research-studio",
      "metrics": {
        "views": 3420,
        "likes": 215,
        "shares": 48,
        "comments": 30
      },
      "creator": {
        "id": 7,
        "username": "nlp_guru",
        "full_name": "Dr. Emily Chen",
        "profile_picture": "https://aistudios.example.com/media/profiles/user_7.jpg"
      },
      "tags": [
        "natural-language-processing",
        "transformers",
        "deep-learning"
      ],
      "trending_score": 92.4,
      "reading_time": 15,
      "duration": "00:00:00",
      "audio_url": "",
      "video_url": "",
      "thumbnail": "https://aistudios.example.com/media/thumbnails/note_205_thumb.jpg",
      "created_at": "2024-01-15T09:30:00Z",
      "updated_at": "2024-01-20T11:00:00Z"
    }
  ],
  "next": "http://api.example.org/accounts/?page=4",
  "previous": "http://api.example.org/accounts/?page=2"
}

POST: List AI experience resources from a specific publication/studio in a flattened format. Each resource (AI Note, AI Expert, Quest) gets its own item in the response with the experience data repeated. This makes it easier for frontend to handle multiple resources per experience. Requires a publication URL in the POST body to filter experiences. Each item includes: - experience_id, experience_uid, experience_title, experience_description - resource_type, resource_id, resource_uid, resource_title - publication_title, publication_logo (if applicable) - metrics, creator, tags, trending_score Filtering and sorting work the same as query parameters.

**POST:** List AI experience resources from a specific publication/studio in a flattened format. Each resource (AI Note, AI Expert, Quest) gets its own item in the response with the experience data repeated. This makes it easier for frontend to handle multiple resources per experience. Requires a publication URL in the POST body to filter experiences. Each item includes: - experience_id, experience_uid, experience_title, experience_description - resource_type, resource_id, resource_uid, resource_title - publication_title, publication_logo (if applicable) - metrics, creator, tags, trending_score **Filtering and sorting work the same as query parameters.**

Query parameters

categoryintegerOptional

Filter by category ID

category_namestringOptional

Filter by category name (case-insensitive partial match)

orderingenumOptional

Sort results. Use ’-’ prefix for descending order.

searchstringOptional

Free text search across title, focus area, tags, and categories

typeenumOptional

Filter by experience type(s). Supports multiple values.

Allowed values:

Request

This endpoint expects an object.

urlstringRequired

Publication custom URL to filter experiences by

Response

List of experience resources in flattened format for the publication

countinteger

resultslist of objects

nextstring or nullformat: "uri"

previousstring or nullformat: "uri"