DataWorth AI: AI data buyer directory
Search 33 AI data buyers and check which programs' published rules a company meets. Read-only.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"buyer-directory": {
"url": "https://dataworthai.com/mcp"
}
}
}Remote endpoints
https://dataworthai.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (5)
🟢search_buyers(query, industry, region, data_type, accepts_closed, ...)
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.
Input Schema
{
"type": "object",
"properties": {
"query": {
"description": "Free text, e.g. 'source code', 'law firm', 'wind-down'.",
"type": "string",
"maxLength": 200
},
"industry": {
"description": "Only buyers whose own pages name this industry. Many buyers take records from any industry; omit to see them.",
"type": "string",
"enum": [
"legal",
"accounting",
"finance",
"medical",
"dental",
"insurance",
"staffing",
"title-escrow",
"property-management",
"real-estate-brokerage",
"software",
"engineering",
"manufacturing",
"life-sciences",
"games",
"other"
]
},
"region": {
"description": "outside_US = buyers whose pages say they take or estimate for non-US companies.",
"type": "string",
"enum": [
"US",
"outside_US"
]
},
"data_type": {
"description": "Kind of records the buyer says it licenses.",
"type": "string",
"enum": [
"email",
"chat",
"documents",
"crm",
"code",
"cad_engineering",
"support_tickets",
"calls",
"finance_erp",
"healthcare",
"media",
"agent_traces"
]
},
"accepts_closed": {
"description": "true = only buyers whose pages say they take winding-down or closed companies.",
"type": "boolean"
},
"max_results": {
"description": "Default 10.",
"type": "integer",
"minimum": 1,
"maximum": 40
},
"detail": {
"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).",
"type": "string",
"enum": [
"full",
"summary"
]
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_buyer(slug)
Full directory entry for one buyer or program by its id (slug), e.g. 'lunchbreak', 'micro1-enterprise', 'turing-lazarus'. Includes its own quoted rules, sources and last-verified date.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"minLength": 1,
"maxLength": 80,
"description": "Buyer id from search_buyers, or the last part of its dataworthai.com/buyers/<slug>/ page."
}
},
"required": [
"slug"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢list_situations
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.
Input Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢check_fit(industry, employees, years_operating, country, status, ...)
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.
Input Schema
{
"type": "object",
"properties": {
"industry": {
"type": "string",
"enum": [
"legal",
"accounting",
"finance",
"medical",
"dental",
"insurance",
"staffing",
"title-escrow",
"property-management",
"real-estate-brokerage",
"software",
"engineering",
"manufacturing",
"life-sciences",
"games",
"other"
],
"description": "legal, 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."
},
"employees": {
"type": "integer",
"minimum": 0,
"maximum": 1000000,
"description": "Employees today (full-time)."
},
"years_operating": {
"type": "number",
"minimum": 0,
"maximum": 300,
"description": "Years the company has operated / has records for."
},
"country": {
"type": "string",
"minLength": 2,
"maxLength": 60,
"description": "Where the company is based: US, CA, UK, AU, or any other country name (treated as OTHER)."
},
"status": {
"type": "string",
"enum": [
"operating",
"winding_down",
"closed",
"acquired"
],
"description": "operating, winding_down, closed, or acquired."
},
"systems_count": {
"description": "How many business systems it uses (email, chat, file storage, CRM, practice/billing, projects, tickets, calls). Mode asks for 5+.",
"type": "integer",
"minimum": 0,
"maximum": 50
},
"systems": {
"description": "Alternative to systems_count: which systems it uses.",
"maxItems": 20,
"type": "array",
"items": {
"type": "string",
"enum": [
"email",
"chat",
"files",
"crm",
"practice",
"billing",
"projects",
"tickets",
"calls"
]
}
},
"peak_employees_ever": {
"description": "Most people it has ever employed (used for Lunchbreak's '20+ staff at some point').",
"type": "integer",
"minimum": 0,
"maximum": 1000000
}
},
"required": [
"industry",
"employees",
"years_operating",
"country",
"status"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"summary": {
"type": "string"
},
"buyers_checked": {
"type": "number"
},
"results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"result": {
"type": "string",
"enum": [
"meets_published_rules",
"does_not_meet_published_rules",
"needs_more_info"
]
},
"reasons": {
"type": "array",
"items": {
"type": "string"
}
},
"missing": {
"type": "array",
"items": {
"type": "string"
}
},
"rules_checked": {
"type": "array",
"items": {
"type": "string"
}
},
"rule_sources": {
"type": "array",
"items": {
"type": "string"
}
},
"rules_last_verified": {
"type": "string"
},
"dataworth_may_earn_referral_fee": {
"type": "boolean"
},
"next_step": {
"type": "object",
"properties": {
"kind": {
"type": "string",
"enum": [
"quiz",
"buyer_site"
]
},
"url": {
"type": "string"
},
"label": {
"type": "string"
}
},
"required": [
"kind",
"url",
"label"
],
"additionalProperties": false
},
"directory_page": {
"type": "string"
}
},
"required": [
"id",
"name",
"result",
"reasons",
"rules_checked",
"rule_sources",
"rules_last_verified",
"dataworth_may_earn_referral_fee",
"next_step"
],
"additionalProperties": false
}
},
"not_scored": {
"type": "object",
"properties": {
"buyers": {
"type": "array",
"items": {
"type": "string"
}
},
"why": {
"type": "string"
}
},
"required": [
"buyers",
"why"
],
"additionalProperties": false
},
"quiz_notes": {
"type": "array",
"items": {
"type": "string"
}
},
"see_also": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"page": {
"type": "string"
}
},
"required": [
"slug",
"title",
"page"
],
"additionalProperties": false
}
},
"next_step": {
"type": "object",
"properties": {
"url": {
"type": "string"
},
"label": {
"type": "string"
},
"why": {
"type": "string"
}
},
"required": [
"url",
"label",
"why"
],
"additionalProperties": false
},
"disclaimer": {
"type": "string"
},
"fee_disclosure": {
"type": "string"
},
"rules_basis": {
"type": "object",
"properties": {
"ordering": {
"type": "string"
},
"mode": {
"type": "string"
},
"mercor": {
"type": "string"
},
"method": {
"type": "string"
}
},
"required": [
"ordering",
"mode",
"method"
],
"additionalProperties": false
},
"input_used": {
"type": "object",
"properties": {
"industry": {
"type": "string"
},
"employees": {
"type": "number"
},
"years_operating": {
"type": "number"
},
"country": {
"type": "string"
},
"status": {
"type": "string"
},
"systems_count": {
"description": "absent = not given",
"type": "number"
},
"peak_employees_ever": {
"description": "absent = not given",
"type": "number"
}
},
"required": [
"industry",
"employees",
"years_operating",
"country",
"status"
],
"additionalProperties": false
}
},
"required": [
"summary",
"buyers_checked",
"results",
"quiz_notes",
"see_also",
"next_step",
"disclaimer",
"fee_disclosure",
"rules_basis",
"input_used"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_changelog
What changed in the buyer directory and when (newest first), plus what was left out and why.
Input Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
Evidence