{"uid":"cap_GNyFmvo5aaRF26ABaM0yf","slug":"verity-suite-ground-calibrated-question-answering-b5c27a71","name":"Verity Suite Ground — Calibrated Question Answering","description":"The trust fabric for AI agents — calibrated, fail-closed services agents pay per call.","url":"https://suite.veritylayer.dev/ground","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"context":{"anyOf":[{"type":"string","maxLength":2000},{"type":"null"}],"title":"Context","default":null,"description":"optional context to consider"},"question":{"type":"string","title":"Question","maxLength":2000,"minLength":1,"description":"the question to answer"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.25","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.25/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.25","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.25","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_MZib9JYZndrJy_bap-Mn0","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.25","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Answers a question with a calibrated confidence score, cited sources, caveats, and an optional Ed25519-signed receipt for auditability","exampleAgentPrompt":"Is it true that the FDA approved semaglutide for cardiovascular risk reduction? Give me a calibrated confidence score, the real sources you used, and any caveats — I need a signed receipt so I can log this for compliance.","exampleUseCases":[{"title":"Fact-check a medical claim","prompt":"Can you check whether metformin is still considered first-line treatment for type 2 diabetes and tell me how confident you are, with any caveats and actual sources? I want a signed receipt in case I need to audit this later."},{"title":"Ground an agent decision on legal fact","prompt":"My agent is about to act on the assumption that GDPR applies to US companies processing EU citizen data — can you verify that and give me a calibrated confidence score plus any important nuances or gaps I should know about?"},{"title":"Answer a competitive intelligence question","prompt":"Is it accurate that OpenAI's GPT-4o supports real-time audio output natively? Give me your confidence, the sources you actually used, and flag any assumptions — I need this grounded before I put it in a report."}],"resultDescription":"Returns a structured JSON object containing: a plain-language answer (or honest statement that the answer cannot be determined), a calibrated probability score (0–1) representing confidence the answer is correct, an array of real sources used, an array of caveats covering gaps or uncertainties, and an optional Ed25519-signed VerityLayer receipt for independent verification.","failureModes":["Question too vague or unanswerable — returns answer stating it cannot be determined, with low confidence","Context field exceeds 2000 characters — schema validation error","Question field empty or missing — 400-level validation error","Signing not configured — receipt field returns null","Payment not included or insufficient — x402 payment required error","Network timeout — no response returned"],"whenToPreferThis":"Choose this endpoint when your agent needs not just an answer but a trust signal: a calibrated confidence score, real source attribution, explicit caveats, and optionally a cryptographically signed receipt for audit trails. It is ideal for autonomous agent pipelines where hallucination risk must be quantified, for compliance-sensitive workflows requiring loggable provenance, or when a human-in-the-loop needs to review AI certainty before acting. Prefer it over generic LLM calls when you need fail-closed behavior — the endpoint is designed to say 'I don't know' honestly rather than confabulate.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T12:49:03.599Z","isFirstParty":false}