DataWorth AI: AI data buyer directory
Server Details
Search 33 AI data buyers and check which programs' published rules a company meets. Read-only.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- DataWorth AI
TDQS
Scored across 5 tools
The tools target distinct operations: eligibility comparison (check_fit), single-record lookup by slug (get_buyer), free-text browsing (search_buyers), curated segment lists (list_situations), and change history (get_changelog). The main overlap is that search_buyers and list_situations both enumerate buyers, but the descriptions explicitly clarify when to use each (and check_fit's description points back to search_buyers for plain comparison).
All five tools use a consistent snake_case verb_noun pattern (check_fit, get_buyer, get_changelog, list_situations, search_buyers). The verbs also map cleanly to intent: get for single-record retrieval, list for curated collections, search for querying, check for evaluation.
Five tools is a tight, well-scoped set for a read-only buyer directory: discovery, detail, segmented browsing, fit evaluation, and change tracking. Each tool covers a distinct need with no filler, and nothing obvious is missing from the surface.
The surface covers the full read lifecycle of the domain (browse, filter by segment, look up a buyer, evaluate fit, check freshness) with no dead ends for an agent answering buyer-eligibility questions. Minor gaps exist around actions like requesting an introduction or comparing two specific buyers side by side, which are punted to email or free-text search.
Available Tools
5 toolscheck_fitCheck which buyers a company fitsARead-onlyIdempotentInspect
Use when someone asks whether a specific company qualifies to license its records to AI data buyers. Compares the company's industry, size, years, country, status and number of business systems with the published eligibility rules of every buyer in DataWorth AI's directory that publishes clear rules (programs DataWorth AI works with and buyers it has no relationship with alike, using the same rules as DataWorth AI's quiz for the former). Returns one row per buyer, ordered by fit and then alphabetically: meets / does not meet / needs more info, reasons quoted from that buyer's own wording, DataWorth AI's profile page for it, DataWorth AI's referral link where there is one, whether DataWorth AI may earn a referral fee, and its next step (DataWorth AI's quiz for programs it works with, or an introduction through hello@dataworthai.com). Also returns a disclaimer and a fee disclosure. Returns no amounts and is not an offer. Needs no names, emails or confidential data.
Inputs: status (required), country (required), industry (required), employees (required), +4 more. Returns: results, summary, see_also, next_step, +7 more
get_buyerGet one buyerARead-onlyIdempotentInspect
Full directory entry for one buyer or program by its id (slug), e.g. 'lunchbreak', 'micro1-enterprise', 'turing-lazarus'. Includes its own quoted rules, last-verified date, DataWorth AI's profile page, DataWorth AI's referral link where there is one, and how to ask DataWorth AI for an introduction.
Inputs: slug (required).
get_changelogDirectory changelogARead-onlyIdempotentInspect
What changed in the buyer directory and when (newest first), plus what was left out and why.
Inputs: no named parameters.
list_situationsList buyer situationsARead-onlyIdempotentInspect
The directory's situation lists (closed or winding-down companies, under 30 employees, outside the US, source code, engineering/CAD, professional services) with the buyers in each and the page link.
Inputs: no named parameters.
search_buyersSearch AI data buyersARead-onlyIdempotentInspect
Search DataWorth AI's directory of companies and programs that license a business's operating records (email, chat, files, CRM, code, CAD) to AI developers. Facts come from each company's own site; payouts are quoted in its own words and are not offers. Results are alphabetical (or by text relevance when a query is given), never by referral fee. Use this to list or compare buyers; to compare one company's facts with programs' eligibility rules, use check_fit.
Inputs: query, detail, region, industry, +3 more.
Tool Schema Changelog
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