io.github.oscarlopez-gif/ai-vendor-data-trust-index
Source-cited data-handling comparison of 11 AI vendors: training, retention, opt-out.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http ai-vendor-data-trust-index 'https://trust.oscar-lopez.com/mcp'
{
"mcpServers": {
"ai-vendor-data-trust-index": {
"type": "http",
"url": "https://trust.oscar-lopez.com/mcp"
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
AI Vendor Data-Trust Index
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.
- Live index (human view): https://data.oscar-lopez.com/ai-trust
- Free comparison API:
GET https://trust.oscar-lopez.com/v1/ai-trust/matrix - Cite as: López, O. E. (2026). AI Vendor Data-Trust Index. https://data.oscar-lopez.com/ai-trust
For AI agents (MCP)
This is a remote MCP server (streamable-http). Add it to your MCP client:
{
"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 fieldsGET /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 recordGET /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
cd ai-trust-index
npm install
npm run db:create # → paste the returned database_id into wrangler.jsonc
npm run schema:remote # create tables (drops existing)
npm run seed:remote # load the 6-vendor provisional seed
npx 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_SECRET
npx 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 nowGET /admin/review?key=…— list open review-queue candidatesGET /admin/review-resolve?key=…&id=N&action=approve|reject— approve (publishes ashuman) or rejectGET /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.
Questions fréquentes
Qu'est-ce que io.github.oscarlopez-gif/ai-vendor-data-trust-index ?
Source-cited data-handling comparison of 11 AI vendors: training, retention, opt-out.
Comment installer io.github.oscarlopez-gif/ai-vendor-data-trust-index ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http ai-vendor-data-trust-index 'https://trust.oscar-lopez.com/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour io.github.oscarlopez-gif/ai-vendor-data-trust-index ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
io.github.oscarlopez-gif/ai-vendor-data-trust-index est-il open source ?
Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.
Qui maintient io.github.oscarlopez-gif/ai-vendor-data-trust-index ?
Il est publié par oscarlopez-gif. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.