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Introduction

Canonical books, food, and movies & TV data over REST and MCP.

Markdown Full spec OpenAPI

FullDatasets is the catalog data source you and your AI agents can trust. Canonical books, authors, food, and movies & TV over REST and MCP. One Bearer key works on both. Pay per request; bulk dumps are issued by email.

Item Value
Books release 2026-09.2 (books.v1) — Open Library
Food schema food.v1 — USDA FoodData Central + Open Food Facts pack shots (2026-10.2 images)
Movies & TV schema movies_tv.v1 — Wikidata spine (CC0) with IMDb / TMDB / TVmaze cross-ids
REST https://api.fulldatasets.com
MCP https://mcp.fulldatasets.com/mcp
OpenAPI https://api.fulldatasets.com/openapi.json
Agent spec (this site, one file) https://fulldatasets.com/docs.md
Page index https://fulldatasets.com/llms.txt

Keys are issued by hand in v1. First 5,000 requests each month are free, then $1 per 1,000. Request a key. Need a parquet dump? Email us.

Start here

  1. Quickstart — one ISBN call in under a minute
  2. Choose an endpoint — pick the right call
  3. Connect MCP — Cursor / agent setup
  4. Changelog — what changed in the catalog

Press ⌘K (Ctrl+K on Windows/Linux) to search every page. Slash (/) also opens search.

Check record

ISBN 9780593135204 — Project Hail Mary (Andy Weir).

You should get a synopsis, the author name, edition fds_ed_37306635333664393039, and work fds_wk_61363037333564616531.

Agents

Do not scrape the HTML. Fetch markdown:

  • Full spec: https://fulldatasets.com/docs.md
  • This page: https://fulldatasets.com/docs/index.md
  • Index of every page: https://fulldatasets.com/llms.txt

Prefer lookup_isbn when the user has an ISBN. Prefer lookup_gtin when the user has a barcode. Prefer lookup_imdb when the user has an IMDb id. Prefer resolve_book / resolve_food / resolve_title for a known title. Do not full-text search an ISBN or GTIN.