AI Training Data Broker

Guidance on selling or licensing company data to AI labs: deal steps, de-identification, compliance.

使うべきか

品質と安全性

A
説明の品質
100%
スキーマの完全性
98%
命名の品質
96%
ポイズニングのリスク
100%
権限の一致
90%
プロトコルへの準拠
100%

検出事項(1)

  • LOWTool 'fetch' suggests web access but openWorldHint=falsefetch 内

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~830トークン数(ツール定義)
~856 B一般的なレスポンスサイズ
注意への影響は中程度(128k コンテキストの 0.65%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

{
  "mcpServers": {
    "mcp": {
      "url": "https://aitrainingdatabroker.com/api/mcp"
    }
  }
}

リモートエンドポイント

https://aitrainingdatabroker.com/api/mcpstreamable-http

できること

ツール一覧

ツール(5)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢latest_posts(audience, limit)

The newest articles on the AI Training Data Broker blog, optionally only those for sellers (companies selling or licensing their data to AI labs) or buyers (labs sourcing licensed training data). Each result is a title, date, reading time, one-line summary and a link to the full article. Limitation: at most 10 per call, newest first.

入力スキーマ

{
  "type": "object",
  "properties": {
    "audience": {
      "type": "string",
      "enum": [
        "seller",
        "buyer",
        "deid"
      ],
      "description": "seller: companies selling or licensing their data. buyer: AI labs and model teams sourcing data. deid: de-identifying data to meet privacy laws (HIPAA, CCPA, GDPR). Leave out for all."
    },
    "limit": {
      "type": "integer",
      "description": "How many to return",
      "minimum": 1,
      "maximum": 10,
      "default": 8
    }
  },
  "required": [],
  "additionalProperties": false
}
🟢search_posts(query, audience, limit)

Search the AI Training Data Broker blog by topic, for example "what is my company data worth", "is it legal", "exclusive license", "RL data". Returns matching articles with a one-line summary and a link to the full article. Limitation: plain word matching in English, at most 10 results.

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Words to search for"
    },
    "audience": {
      "type": "string",
      "enum": [
        "seller",
        "buyer",
        "deid"
      ],
      "description": "seller: companies selling or licensing their data. buyer: AI labs and model teams sourcing data. deid: de-identifying data to meet privacy laws (HIPAA, CCPA, GDPR). Leave out for all."
    },
    "limit": {
      "type": "integer",
      "description": "How many to return",
      "minimum": 1,
      "maximum": 10,
      "default": 8
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢get_post(slug)

One article by slug (the last part of its URL) or its full URL: title, date, who it is for, the opening 120 words, the questions its FAQ answers, and a link to read the rest. Use it after a list or search result when the user wants to know what an article says. Limitation: returns the opening, not the full text; the full article and its answers are on the linked page.

入力スキーマ

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Article slug, e.g. how-much-do-ai-labs-pay-for-company-data, or the full URL"
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}
🟢search(query)

Connector-style search over the blog. Returns ids for fetch. Prefer search_posts for a filtered list.

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Words to search for"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢fetch(id)

Connector-style fetch of one article by the id from search. Same opening as get_post.

入力スキーマ

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Article slug from search"
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false
}

コミュニティ

このサーバーを評価する

エビデンス

最近の観測

検証済みバージョンは記録されていませんツール 5 件