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).
vendor必填
io.github.oscarlopez-gif由 GitHub 帳號 oscarlopez-gif 發布v0.1.0更新於 Oct 24, 2026
Source-cited data-handling comparison of 11 AI vendors: training, retention, opt-out.
遠端 MCP 伺服器,提供附來源引用的答案,說明 11 家 AI 供應商如何處理你的資料:是否用輸入訓練、保留期限與退出選項。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.oscarlopez-gif%2Fai-vendor-data-trust-index/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"ai-vendor-data-trust-index": {
"type": "http",
"url": "https://trust.oscar-lopez.com/mcp"
}
}
}[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.
GET https://trust.oscar-lopez.com/v1/ai-trust/matrixThis is a remote MCP server (streamable-http). Add it to your MCP client:
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.
Free (CORS-enabled):
GET /v1/ai-trust/headline?vendor=openai-api — verdict + 3 cited headline fieldsGET /v1/ai-trust/compare?field=trains_on_your_data — one field across all vendorsPaid (mock x402 — 402 challenge → echo {resource,nonce,mac} in X-PAYMENT):
GET /v1/ai-trust/vendor?vendor=openai-api — full cited recordGET /v1/ai-trust/all — bulk exportOther: POST /mcp (JSON-RPC: 2 free tools + 1 paid), GET /openapi.json,
GET /.well-known/x402, GET /admin/config?key=<STATS_TOKEN> (config lever).
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 nowGET /admin/review?key=… — list open review-queue candidatesGET /admin/review-resolve?key=…&id=N&action=approve|reject — approve (publishes as human) or rejectGET /admin/verify-selftest?key=… — proves the quote gate rejects a fabricated quote / accepts a verbatim oneExtractor: 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.
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.
來源:README.md,提交 2f7360f
FREE. Plain-language, source-cited verdict on how an AI vendor handles your data (trains-on-data, zero-retention, opt-out).
vendor必填FREE. Compare one data-trust field (default trains_on_your_data) across all tracked vendors, with citations.
fieldPAID (x402). Full source-cited data-trust record for one vendor: every field, quote, source URL, confidence, date.
vendor必填已滿足適用檢查項的 90%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
請在儲存庫或註冊中心條目中宣告授權條款。
{ "mcpServers": { "ai-vendor-data-trust": { "type": "streamable-http", "url": "https://trust.oscar-lopez.com/mcp" } }}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