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Export full database

Returns the complete taxonomy database as a single JSON document. Includes all entities (domains, disciplines, sub-disciplines, topics) and all relationship tables. Use this for initial local database setup, then poll for updates with the updated_since parameter.

GET /api/v2/export

Authentication

Requires Bearer token in the Authorization header.

Query Parameters

updated_since string optional

ISO 8601 timestamp. When provided, returns only entities updated after this time. Junction tables are always returned in full. Example: 2026-01-01T00:00:00Z

Response

meta object

Export metadata including schema_version, exported_at, type (full or delta), and record counts per table

domains array

All domain records with id, name, slug, description, source_updated_at

disciplines array

All discipline records

sub_disciplines array

All sub-discipline records

topics array

All topic records including synonyms and parent_topic_id

domain_disciplines array

Domain-to-discipline relationships (domain_id, discipline_id)

discipline_sub_disciplines array

Discipline-to-sub-discipline relationships

sub_discipline_topics array

Sub-discipline-to-topic relationships

curl -X GET "https://macademiatree.com/api/v2/export" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json"
{
  "meta": {
    "schema_version": "1.0",
    "exported_at": "2026-03-23T12:00:00Z",
    "type": "full",
    "counts": {
      "domains": 8,
      "disciplines": 95,
      "sub_disciplines": 420,
      "topics": 3200,
      "domain_disciplines": 110,
      "discipline_sub_disciplines": 480,
      "sub_discipline_topics": 4100
    }
  },
  "domains": [
    {
      "id": "a1b2c3d4-...",
      "name": "Natural Sciences",
      "slug": "natural-sciences",
      "description": "Study of the physical world",
      "source_updated_at": "2026-03-01T00:00:00Z"
    }
  ],
  "disciplines": [
    "..."
  ],
  "sub_disciplines": [
    "..."
  ],
  "topics": [
    {
      "id": "d4e5f6a7-...",
      "name": "Neural Networks",
      "slug": "neural-networks",
      "description": "Computing systems inspired by biological networks",
      "synonyms": [
        "ANN"
      ],
      "parent_topic_id": null,
      "source_updated_at": "2026-03-01T00:00:00Z"
    }
  ],
  "domain_disciplines": [
    {
      "domain_id": "a1b2c3d4-...",
      "discipline_id": "b2c3d4e5-..."
    }
  ],
  "discipline_sub_disciplines": [
    "..."
  ],
  "sub_discipline_topics": [
    "..."
  ]
}