# The AI agent tool market, as a dataset. (slim)

> Anchor Terminal's grades as a dataset for research and reporting, free under CC BY 4.0. 1,405 tools AI agents run on, graded from public evidence, one row per listing with a day-by-day history, on Hugging Face. The full records and the traffic behind them (views by people and by agents, comparisons, searches, letme's picks) on request with a university or publication address, for researchers and journalists. How to cite it.

- Full: https://www.anchorterminal.com/academia/index.md (~3,550 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/academia/index.json · canonical https://www.anchorterminal.com/academia/
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-03
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Anchor Terminal's grades as a dataset for research, free under CC BY 4.0. 1405 tools AI agents run on, graded from public evidence, one row per listing with a history file for each day the grades changed. Public table: https://huggingface.co/datasets/AnchorTerminal/grades. On request, with a university address or a journalist's at their publication: every listing's full record (reasons, sources, prices, dated changes, score history, panel reviews) and the traffic counts by day (views by people and by agents per listing, comparisons opened, searches and what they returned, links out, letme's picks and outcome reports), never an address or a user agent.

- Request: The form on the HTML page sends a request for the research dataset, from the address you signed in with: a university address (.edu, or .ac or .edu under a country code) for a researcher, or a publication's own address for a journalist. Sign in at `https://www.anchorterminal.com/account/` first. The same from a script is `POST https://www.anchorterminal.com/api/v1/contact` with the sign-in token as a Bearer header and JSON `{"kind": "dataset", "who": "researcher", "name": "…", "company": "your university", "message": "what you're researching"}` (`who` is researcher or press; optional `url`); the address comes from the token. One of us reads each request and answers by email. By email, `hello@anchorterminal.com` from that address.
- Credit: name "Anchor Terminal (anchorterminal.com)", link the page or dataset, give the as_of date and the methodology version, and say the grades are assessments by the method at https://www.anchorterminal.com/benchmark/.
- Columns: slug, name, vendor, kind, area, category, checklist, grade, score, agent_ready, ranked, rank, rank_of, category_rank, confidence, assessed, methodology, run, negative, score_*, review_count, avg_rating, pricing, price_summary, auth, where, x402, capabilities, own, competes_with, disclosure, retired, github_stars, npm_weekly, pypi_weekly, vendor_linked, url, markdown_url, json_url, as_of.