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DataWorth AI: AI data buyer directory

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Search 33 AI data buyers and check which programs' published rules a company meets. Read-only.

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Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
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Available Tools

5 tools
check_fitCheck which buyers a company fits
Read-onlyIdempotent
Inspect

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, its rule source URLs, whether DataWorth AI may earn a referral fee, and its next step (the buyer's own page, or DataWorth AI's quiz for programs it introduces). Also returns a disclaimer and a fee disclosure. Returns no amounts and is not an offer. Needs no names, emails or confidential data.

ParametersJSON Schema
NameRequiredDescriptionDefault
statusYesoperating, winding_down, closed, or acquired.
countryYesWhere the company is based: US, CA, UK, AU, or any other country name (treated as OTHER).
systemsNoAlternative to systems_count: which systems it uses.
industryYeslegal, accounting, finance, medical, dental, insurance, staffing, title-escrow, property-management, real-estate-brokerage, software, engineering (incl. architecture/design), manufacturing (incl. machine shops), life-sciences (labs and research), games, or other.
employeesYesEmployees today (full-time).
systems_countNoHow many business systems it uses (email, chat, file storage, CRM, practice/billing, projects, tickets, calls). Mode asks for 5+.
years_operatingYesYears the company has operated / has records for.
peak_employees_everNoMost people it has ever employed (used for Lunchbreak's '20+ staff at some point').

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultsYes
summaryYes
see_alsoYes
next_stepYes
disclaimerYes
input_usedYes
not_scoredNo
quiz_notesYes
rules_basisYes
buyers_checkedYes
fee_disclosureYes
get_buyerGet one buyer
Read-onlyIdempotent
Inspect

Full directory entry for one buyer or program by its id (slug), e.g. 'lunchbreak', 'micro1-enterprise', 'turing-lazarus'. Includes its own quoted rules, sources and last-verified date.

ParametersJSON Schema
NameRequiredDescriptionDefault
slugYesBuyer id from search_buyers, or the last part of its dataworthai.com/buyers/<slug>/ page.
get_changelogDirectory changelog
Read-onlyIdempotent
Inspect

What changed in the buyer directory and when (newest first), plus what was left out and why.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

list_situationsList buyer situations
Read-onlyIdempotent
Inspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

search_buyersSearch AI data buyers
Read-onlyIdempotent
Inspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
queryNoFree text, e.g. 'source code', 'law firm', 'wind-down'.
detailNofull (default) = every field with quotes and sources; summary = id, name, type, where, size rule and page only (smaller response; use get_buyer for one entry's full detail).
regionNooutside_US = buyers whose pages say they take or estimate for non-US companies.
industryNoOnly buyers whose own pages name this industry. Many buyers take records from any industry; omit to see them.
data_typeNoKind of records the buyer says it licenses.
max_resultsNoDefault 10.
accepts_closedNotrue = only buyers whose pages say they take winding-down or closed companies.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 2 tool updates
    • Changedcheck_fit9 fields changed
      • addedOutput schema / properties / buyers_checked
        Added value: +{
        +  "type": "number"
        +}
      • addedOutput schema / properties / not_scored
        Added value: +{
        +  "additionalProperties": false,
        +  "properties": {
        +    "buyers": {
        +      "items": {
        +        "type": "string"
        +      },
        +      "type": "array"
        +    },
        +    "why": {
        +      "type": "string"
        +    }
        +  },
        +  "required": [
        +    "buyers",
        +    "why"
        +  ],
        +  "type": "object"
        +}
      • removedOutput schema / properties / other_directory_buyers
        Removed value: -{
        -  "items": {
        -    "additionalProperties": false,
        -    "properties": {
        -      "dataworth_may_earn_referral_fee": {
        -        "type": "boolean"
        -      },
        -      "id": {
        -        "type": "string"
        -      },
        -      "name": {
        -        "type": "string"
        -      },
        -      "page": {
        -        "type": "string"
        -      },
        -      "why": {
        -        "type": "string"
        -      }
        -    },
        -    "required": [
        -      "id",
        -      "name",
        -      "why",
        -      "page",
        -      "dataworth_may_earn_referral_fee"
        -    ],
        -    "type": "object"
        -  },
        -  "type": "array"
        -}
      • removedOutput schema / properties / programs
        Removed value: -{
        -  "items": {
        -    "additionalProperties": false,
        -    "properties": {
        -      "dataworth_may_earn_referral_fee": {
        -        "type": "boolean"
        -      },
        -      "learn_more": {
        -        "type": "string"
        -      },
        -      "missing": {
        -        "items": {
        -          "type": "string"
        -        },
        -        "type": "array"
        -      },
        -      "name": {
        -        "type": "string"
        -      },
        -      "program": {
        -        "enum": [
        -          "mode",
        -          "micro1",
        -          "lunchbreak"
        -        ],
        -        "type": "string"
        -      },
        -      "reasons": {
        -        "items": {
        -          "type": "string"
        -        },
        -        "type": "array"
        -      },
        -      "result": {
        -        "enum": [
        -          "meets_published_rules",
        -          "does_not_meet_published_rules",
        -          "needs_more_info"
        -        ],
        -        "type": "string"
        -      }
        -    },
        -    "required": [
        -      "program",
        -      "name",
        -      "result",
        -      "reasons",
        -      "learn_more",
        -      "dataworth_may_earn_referral_fee"
        -    ],
        -    "type": "object"
        -  },
        -  "type": "array"
        -}
      • addedOutput schema / properties / results
        Added value: +{
        +  "items": {
        +    "additionalProperties": false,
        +    "properties": {
        +      "dataworth_may_earn_referral_fee": {
        +        "type": "boolean"
        +      },
        +      "directory_page": {
        +        "type": "string"
        +      },
        +      "id": {
        +        "type": "string"
        +      },
        +      "missing": {
        +        "items": {
        +          "type": "string"
        +        },
        +        "type": "array"
        +      },
        +      "name": {
        +        "type": "string"
        +      },
        +      "next_step": {
        +        "additionalProperties": false,
        +        "properties": {
        +          "kind": {
        +            "enum": [
        +              "quiz",
        +              "buyer_site"
        +            ],
        +            "type": "string"
        +          },
        +          "label": {
        +            "type": "string"
        +          },
        +          "url": {
        +            "type": "string"
        +          }
        +        },
        +        "required": [
        +          "kind",
        +          "url",
        +          "label"
        +        ],
        +        "type": "object"
        +      },
        +      "reasons": {
        +        "items": {
        +          "type": "string"
        +        },
        +        "type": "array"
        +      },
        +      "result": {
        +        "enum": [
        +          "meets_published_rules",
        +          "does_not_meet_published_rules",
        +          "needs_more_info"
        +        ],
        +        "type": "string"
        +      },
        +      "rule_sources": {
        +        "items": {
        +          "type": "string"
        +        },
        +        "type": "array"
        +      },
        +      "rules_checked": {
        +        "items": {
        +          "type": "string"
        +        },
        +        "type": "array"
        +      },
        +      "rules_last_verified": {
        +        "type": "string"
        +      }
        +    },
        +    "required": [
        +      "id",
        +      "name",
        +      "result",
        +      "reasons",
        +      "rules_checked",
        +      "rule_sources",
        +      "rules_last_verified",
        +      "dataworth_may_earn_referral_fee",
        +      "next_step"
        +    ],
        +    "type": "object"
        +  },
        +  "type": "array"
        +}
      • addedOutput schema / properties / rules_basis / properties / mercor
        Added value: +{
        +  "type": "string"
        +}
      • addedOutput schema / properties / rules_basis / properties / ordering
        Added value: +{
        +  "type": "string"
        +}
      • changedOutput schema / properties / rules_basis / required
        Previous value: -[
        -  "mode",
        -  "method"
        -]New value: +[
        +  "ordering",
        +  "mode",
        +  "method"
        +]
      • changedOutput schema / required
        Previous value: -[
        -  "summary",
        -  "programs",
        -  "quiz_notes",
        -  "other_directory_buyers",
        -  "see_also",
        -  "next_step",
        -  "disclaimer",
        -  "fee_disclosure",
        -  "rules_basis",
        -  "input_used"
        -]New value: +[
        +  "summary",
        +  "buyers_checked",
        +  "results",
        +  "quiz_notes",
        +  "see_also",
        +  "next_step",
        +  "disclaimer",
        +  "fee_disclosure",
        +  "rules_basis",
        +  "input_used"
        +]
    • Changedsearch_buyers1 field changed
      • addedInput schema / properties / detail
        Added value: +{
        +  "description": "full (default) = every field with quotes and sources; summary = id, name, type, where, size rule and page only (smaller response; use get_buyer for one entry's full detail).",
        +  "enum": [
        +    "full",
        +    "summary"
        +  ],
        +  "type": "string"
        +}
  2. 5 tool updates
    • First observedcheck_fit
    • First observedget_buyer
    • First observedget_changelog
    • First observedlist_situations
    • First observedsearch_buyers

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