Ai Vendor Data Trust Index

io.github.oscarlopez-gif由 GitHub 账号 oscarlopez-gif 发布v0.1.0更新于 Oct 24, 2026

Source-cited data-handling comparison of 11 AI vendors: training, retention, opt-out.

已验证Streamable HTTP可网页运行安全与监控AI 与机器学习

概览

AI 生成的概览

远程 MCP 服务器,提供有来源引用的答案,说明 11 家 AI 供应商如何处理你的数据:是否用输入训练、保留期限与退出选项。

可以做什么
获取某家供应商数据处理方式的通俗结论,涵盖训练、保留与退出等字段,并附原文引用、来源链接、置信度和核查日期;含糊情况标记为不明确而非猜测。跨所有已收录供应商比较单一数据信任字段,例如是否用你的输入进行训练,并附引用。通过付费工具获取某家供应商的完整引用记录。覆盖的供应商包括 OpenAI、Anthropic、Google Vertex 与 Gemini、Azure OpenAI、AWS Bedrock、Microsoft 365 Copilot、GitHub Copilot、Mistral 和 Meta Llama。
适用场景
适合在选择或比较 AI 供应商时,快速获得可引用的数据处理政策证据;也适合助手需要带引用地回答关于输入训练、数据保留或退出选项的问题。
运行要求
远程 streamable-HTTP 端点;未声明需要本地运行时、账户、API 密钥或请求头。完整记录工具为付费,需要响应 x402 式支付挑战。
安装前请注意
完整供应商记录工具为付费,使用可能产生费用。README 称支付流程为模拟 x402,真实结算尚未建成,支付行为可能不可靠。内容为政策摘要而非法律意见,且索引仅覆盖 11 家供应商。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Ai Vendor Data Trust Index,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.oscarlopez-gif%2Fai-vendor-data-trust-index/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "ai-vendor-data-trust-index": {
      "type": "http",
      "url": "https://trust.oscar-lopez.com/mcp"
    }
  }
}

README

AI Vendor Data-Trust Index

[License: MIT] [Data: CC BY 4.0] [MCP]

A source-cited record of how AI products handle your data — whether the vendor trains on your inputs, whether zero data retention is available, and whether you can opt out — across 11 products (OpenAI, Anthropic, Google Vertex & Gemini, Azure OpenAI, AWS Bedrock, Microsoft 365 Copilot, GitHub Copilot, Mistral, Meta Llama). Every value carries a verbatim quote from the vendor's live policy, a source URL, a confidence level, and the date it was checked. Ambiguous cases are marked unclear rather than guessed. An automated verifier re-checks the policies weekly and only publishes a value when a verbatim quote supports it — otherwise it holds the last human-verified value.

For AI agents (MCP)

This is a remote MCP server (streamable-http). Add it to your MCP client:

json
{  "mcpServers": {    "ai-vendor-data-trust": {      "type": "streamable-http",      "url": "https://trust.oscar-lopez.com/mcp"    }  }}

Tools: get_ai_vendor_trust_headline (free — verdict + cited fields for one vendor), get_ai_vendor_trust_compare (free — one field across all vendors), get_ai_vendor_trust (paid, x402 — full cited record). Vendor IDs: openai-api, openai-consumer, anthropic-api, google-vertex, google-gemini-consumer, microsoft-copilot, azure-openai, aws-bedrock, mistral-api, meta-llama, github-copilot.

Endpoints

Free (CORS-enabled):

  • GET /v1/ai-trust/headline?vendor=openai-api — verdict + 3 cited headline fields
  • GET /v1/ai-trust/compare?field=trains_on_your_data — one field across all vendors

Paid (mock x402 — 402 challenge → echo {resource,nonce,mac} in X-PAYMENT):

  • GET /v1/ai-trust/vendor?vendor=openai-api — full cited record
  • GET /v1/ai-trust/all — bulk export

Other: POST /mcp (JSON-RPC: 2 free tools + 1 paid), GET /openapi.json, GET /.well-known/x402, GET /admin/config?key=<STATS_TOKEN> (config lever).

Deploy

bash
cd ai-trust-indexnpm installnpm run db:create                 # → paste the returned database_id into wrangler.jsoncnpm run schema:remote             # create tables (drops existing)npm run seed:remote               # load the 6-vendor provisional seednpx wrangler deploy --dry-run --outdir dist   # verify build (no auth)npm run deploy                    # deploy the Worker# In Cloudflare: add custom domain trust.oscar-lopez.com to this Worker.# Set real secrets before public use:npx wrangler secret put MOCK_PAYMENT_SECRETnpx wrangler secret put STATS_TOKEN

Verifier (v1) — automated weekly re-check

Pipeline in src/verifier.ts: fetch each vendor's pinned policy URLs → content-hash diff (skip if unchanged) → model extraction of {value, quote} (Workers AI by default; frontier via AI Gateway if configured) → verbatim quote-verification (the candidate quote must be a literal substring of the fetched source, else rejected) → confidence gate. Only a quote-verified DEFINITE value auto-publishes (verified_by='auto'); anything else is queued in review_queue and the last good published value is held (never auto-downgraded to unclear). A failed fetch holds the last good value and flags the URL. Runs weekly via cron (0 12 * * 1) and on demand.

Admin endpoints (key-gated by STATS_TOKEN):

  • GET /admin/verify?key=…[&force=1][&vendor=ID] — run the verifier now
  • GET /admin/review?key=… — list open review-queue candidates
  • GET /admin/review-resolve?key=…&id=N&action=approve|reject — approve (publishes as human) or reject
  • GET /admin/verify-selftest?key=… — proves the quote gate rejects a fabricated quote / accepts a verbatim one

Extractor: defaults to Workers AI (EXTRACTOR_MODEL, needs no external key). To use a frontier model, set AI_GATEWAY_URL + AI_GATEWAY_TOKEN (secret) and point EXTRACTOR_MODEL at the provider model.

Not yet built

The /ai-trust site page's changelog view, real x402 settlement, breadth expansion into new vendors (free tier) and the depth/channel schema (paid tier). See ../AI-Trust-Index_v1-Spec_Verifier-and-Depth.md.

来源:README.md,提交 2f7360f

工具

3

get_ai_vendor_trust_headline

FREE. Plain-language, source-cited verdict on how an AI vendor handles your data (trains-on-data, zero-retention, opt-out).

输入参数vendor必填

get_ai_vendor_trust_compare

FREE. Compare one data-trust field (default trains_on_your_data) across all tracked vendors, with citations.

输入参数field

get_ai_vendor_trust

PAID (x402). Full source-cited data-trust record for one vendor: every field, quote, source URL, confidence, date.

输入参数vendor必填

版本历史

1
  1. v0.1.0最新Sep 16, 2026

评分

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