accueil / serveurs / Dev & Code / io.github.truepointmarketingpartners-dotcom/claim-grounding
io.github.truepointmarketingpartners-dotcom/claim-grounding
serveur MCP (Model Context Protocol) · claim-grounding 1.4.7
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que io.github.truepointmarketingpartners-dotcom/claim-grounding est sûr ?
Au dernier audit MCP Hub, le serveur MCP « io.github.truepointmarketingpartners-dotcom/claim-grounding » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.
Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 4 outils
- check_answer≈ 1532 tokens
Fact-check a whole answer: extracts every checkable claim and verifies each against Wikipedia, plus Wikidata structured facts for dates, numbers, quantities, ordinals and records. Returns per-claim verdict, confidence, quote, source URL, sentence span and suggested_correction (quoted only from cited sources when contradicted/outdated), plus an answer-level summary with overall_verdict, counts and problem_sentences. Abstained rather than guessed. Use to audit chatbot or RAG output. Price: $1.00 USDC on Base per call via x402; this MCP call returns payment instructions and POST /v1/check_answer returns the results. Read-only.
Paramètres, retour & exemple (3)
Paramètresanswer· string · requis
The full answer text to fact-check. Each factual sentence is checked separately.sources· array · optionnel
Optional. Up to 10 sources of your own, used as extra evidence next to the public sources and cited with provider and source_type "caller". The response lists what was used in sources_used.sources_only· boolean · optionnel
Optional. true = judge the claim only against your sources (no public-source lookups). Needs a non-empty sources array.
Exemple d'appel{"name": "check_answer", "arguments": {"answer": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"tool": "texte", "result": {}, "status": "payment_required", "message": "texte", "payment": {}}} - deep_verify≈ 1024 tokens
Use when a claim is high-stakes, or when check_answer or extract_claims marks it unsure (their next_step gives the exact request). Verifies up to three claims against Wikipedia, Wikidata, Google News, Europe PMC, FRED and SEC EDGAR; returns verdict, confidence, evidence for and against with URLs, and flags contradictions. Async: poll GET /v1/jobs/{job_id} free. $0.75 USDC on Base via x402. Read-only.
Paramètres, retour & exemple (3)
Paramètresanswer· string · requis
The claim or short text to verify (up to three claims are checked).sources· array · optionnel
Optional. Up to 10 sources of your own, used as extra evidence next to the public sources and cited with provider and source_type "caller". The response lists what was used in sources_used.sources_only· boolean · optionnel
Optional. true = judge the claim only against your sources (no public-source lookups). Needs a non-empty sources array.
Exemple d'appel{"name": "deep_verify", "arguments": {"answer": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"tool": "texte", "result": {}, "status": "payment_required", "message": "texte", "payment": {}}} - extract_claims≈ 1036 tokens
Split a text (for example an AI-generated answer) into atomic factual claims. Each claim includes span, grounding_required, claim_type (number|date|quantity|quote|named_entity_fact|comparison|opinion|prediction|other), check_worthiness (high|medium|low), and the source sentence. Hedges are stripped, pronouns are resolved across sentences, and compound sentences are split. Questions, greetings, opinions and predictions are marked grounding_required false. Use before verify_claim. Price: $0.05 USDC on Base per call via x402; this MCP call returns payment instructions and POST /v1/extract_claims returns the claims. Read-only.
Paramètres, retour & exemple (1)
Paramètrestext· string · requis
The text to split into claims, for example a chatbot answer. Up to a few thousand characters.
Exemple d'appel{"name": "extract_claims", "arguments": {"text": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"tool": "texte", "result": {}, "status": "payment_required", "message": "texte", "payment": {}}} - verify_claim≈ 1334 tokens
Check one factual claim against public Wikipedia sources and return a verdict (supported, contradicted, outdated, mixed or insufficient_evidence), a confidence score, a short reason, the supporting quote and the source URL. Says insufficient_evidence instead of guessing. Price: $1.00 USDC on Base per call via x402; this MCP call returns payment instructions and the paid HTTP route POST /v1/verify_claim returns the verdict. For a multi-source check use deep_verify. Read-only.
Paramètres, retour & exemple (3)
Paramètresclaim· string · requis
One factual sentence to check.sources· array · optionnel
Optional. Up to 10 sources of your own, used as extra evidence next to the public sources and cited with provider and source_type "caller". The response lists what was used in sources_used.sources_only· boolean · optionnel
Optional. true = judge the claim only against your sources (no public-source lookups). Needs a non-empty sources array.
Exemple d'appel{"name": "verify_claim", "arguments": {"claim": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"tool": "texte", "result": {}, "status": "payment_required", "message": "texte", "payment": {}}}
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