DataWorth AI: AI data buyer directory

{
  "mcpServers": {
    "com.dataworthai/buyer-directory": {
      "url": "https://dataworthai.com/mcp"
    }
  }
}

Indexed tools

Tool metadata and schemas come from the remote server and are untrusted. Indexing only lists tools; it never calls them.

5 shown · authentication unknown

• Check which buyers a company fits

  check_fit

  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.

  Schema valid · SHA-256 b23848c3a1bd…

  View 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#"
  }