Dataconto: who buys company records and code

Who pays owners for company records, code and datasets, closed companies included. Sourced terms.

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Calidad y seguridad

A
Calidad de la descripción
100%
Integridad del esquema
93%
Calidad de los nombres
100%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~1,223Tokens (definiciones de herramientas)
~2.3 KBTamaño de respuesta típico
Impacto moderado en la atención (0.96% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "buyers": {
      "url": "https://dataconto.com/mcp"
    }
  }
}

Puntos de conexión remotos

https://dataconto.com/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (4)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢list_buyers(side, kind, status, country, min_payout, ...)

Programs that pay owners for company records (email, chat, tickets, docs, CRM, databases) or private code, including from closed or winding-down companies. Returns each program's summary, who qualifies, published payout range or rates, countries and its Dataconto page. Programs listed on Dataconto's buyer pages come first.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "side": {
      "type": "string",
      "enum": [
        "company",
        "code"
      ],
      "description": "company = business records, code = private source code."
    },
    "kind": {
      "type": "string",
      "enum": [
        "pays_owner",
        "marketplace",
        "invite_only"
      ],
      "description": "pays_owner = the program pays the owner itself; marketplace = it places the data with buyers; invite_only = no open intake."
    },
    "status": {
      "type": "string",
      "enum": [
        "open",
        "invite",
        "paused",
        "closed"
      ],
      "description": "Intake status."
    },
    "country": {
      "type": "string",
      "description": "Two-letter ISO 3166 code of the owner's country, e.g. US, GB, DE. Programs with no country limit are included."
    },
    "min_payout": {
      "type": "integer",
      "minimum": 0,
      "description": "Only programs whose published payout reaches at least this many US dollars."
    },
    "listed": {
      "type": "boolean",
      "description": "true = only programs on Dataconto's buyer pages and fit check."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "description": "Results to return, default 20."
    }
  },
  "additionalProperties": false
}
🟢get_buyer(id)

One program with its current facts: what it takes, who qualifies, payout, fees, exclusivity, payment timing and process, each quoted from the buyer's page with the date read.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Program id from list_buyers, e.g. \"scale-data-partnerships\". A company name also works."
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false
}
🟢get_market_facts(program, field, source_type, since, current, ...)

Dated, sourced facts across programs: payout ranges, per-token rates, payout caps, platform fees, payment timing, eligibility. History is kept when a term changes (current=false rows). Press-only figures are flagged with source_type press.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "program": {
      "type": "string",
      "description": "Program id from list_buyers."
    },
    "field": {
      "type": "string",
      "enum": [
        "payout_range",
        "payout_rate",
        "payout_cap",
        "payout_total",
        "platform_fee",
        "payment_timing",
        "exclusivity",
        "eligibility",
        "buys",
        "process",
        "deal",
        "ownership"
      ],
      "description": "Kind of fact."
    },
    "source_type": {
      "type": "string",
      "enum": [
        "primary",
        "press",
        "register"
      ],
      "description": "primary = quoted from the buyer's own page."
    },
    "since": {
      "type": "string",
      "description": "Observed on or after this date, YYYY-MM-DD."
    },
    "current": {
      "type": "boolean",
      "description": "true = only terms in force; false = only superseded ones."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "description": "Results to return, default 30."
    }
  },
  "additionalProperties": false
}
🟢get_tool_terms(tool, record_type, field, plan, answer, ...)

For business tools companies keep records in (chat, email, tickets, docs, CRM, call recordings, code hosts): who owns the customer's data, whether the vendor trains AI on it (generative and other models, by plan), whether it keeps aggregated use, what can be exported on which plan and by whom, how much history the plan keeps, and how long data stays after cancellation. Each answer is quoted word for word from the vendor's own terms, AI page, data processing addendum or help article, with the date read. "The terms don't say" means every contract was read and none answers; "Not read yet" means a document is still unread. Answers marked inferred are a reading of the text, not its words. Not legal advice.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "tool": {
      "type": "string",
      "description": "Tool id, e.g. \"slack\", \"microsoft-365\", \"google-workspace\", \"salesforce\", \"notion\". Omit to list every tool."
    },
    "record_type": {
      "type": "string",
      "description": "Kind of record: slack-and-teams, email, support-tickets, jira-and-linear, crm, call-recordings, documents-and-sops."
    },
    "field": {
      "type": "string",
      "enum": [
        "ownership",
        "ai_training",
        "aggregate_use",
        "export",
        "retention",
        "after_cancel"
      ],
      "description": "One question: ownership, ai_training, aggregate_use, export, retention or after_cancel."
    },
    "plan": {
      "type": "string",
      "description": "A plan name as the vendor spells it, e.g. \"Free\", \"Enterprise\"."
    },
    "answer": {
      "type": "string",
      "enum": [
        "customer",
        "vendor",
        "shared",
        "not_stated",
        "no",
        "opt_in",
        "opt_out",
        "yes",
        "reserved",
        "not_reserved",
        "all",
        "partial",
        "none",
        "days",
        "export",
        "no_export"
      ],
      "description": "Keep tools whose headline answer has this token, e.g. opt_out with field=ai_training."
    },
    "facts": {
      "type": "boolean",
      "description": "false = headline answers only, no quoted facts. Default true."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 20,
      "description": "Tools to return, default 20."
    }
  },
  "additionalProperties": false
}

Comunidad

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Evidencia

Observaciones recientes

verificadoversión no registrada4 herramientas