{"uid":"cap_BBm2AMiplHlTdjEcq1fwT","slug":"verity-suite-ground-quick-1dcfd1f2","name":"Verity Suite Ground Quick","description":"The trust fabric for AI agents — calibrated, fail-closed services agents pay per call.","url":"https://verity-suite.onrender.com/ground/quick","method":"POST","headers":{},"bodySchema":{"type":"object","required":["question"],"properties":{"context":{"type":"string","description":"optional context to consider"},"question":{"type":"string","description":"the question to answer"}}},"responseSchema":{"type":"object","title":"ground_out","required":["answer","confidence"],"properties":{"answer":{"type":"string","title":"Answer","description":"the answer, or an honest statement that it cannot be determined"},"caveats":{"type":"array","items":{"type":"string"},"title":"Caveats","description":"gaps, assumptions, or uncertainties"},"sources":{"type":"array","items":{"type":"string"},"title":"Sources","description":"real sources actually used (empty if none)"},"confidence":{"type":"number","title":"Confidence","maximum":1,"minimum":0,"description":"calibrated probability the answer is correct"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.03","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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":"$0.03/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_m_ctmyOnXsYgcykftgbw4","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.03","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Answers a question with a calibrated confidence score, caveats, and sources, returning an honest 'cannot determine' if uncertain","exampleAgentPrompt":"With calibrated confidence, answer this question: 'Is the FDA required to approve dietary supplements before they are sold in the US?' — use this context if helpful: 'User is researching supplement regulations for a compliance report.'","exampleUseCases":null,"resultDescription":"A JSON object containing: an 'answer' string (the answer or an honest statement it cannot be determined), a 'confidence' float between 0 and 1 representing calibrated probability the answer is correct, a 'caveats' array listing gaps, assumptions, or uncertainties, and a 'sources' array of real sources actually used (may be empty).","failureModes":["Question is too vague or ambiguous — returns low confidence answer with extensive caveats","Question requires real-time data not available — returns honest 'cannot determine' with confidence near 0","Malformed request missing required 'question' field — returns 400-level error","Server cold start on Render deployment may cause timeout — retry recommended","Context field too long may cause processing errors or truncation"],"whenToPreferThis":"Choose this endpoint when you need a trustworthy, calibrated answer with explicit uncertainty quantification rather than a confident-sounding but potentially hallucinated response. Ideal for compliance, research, or decision-support use cases where knowing the confidence level and caveats is as important as the answer itself. Prefer this over general LLM calls when you need the model to honestly say 'I don't know' rather than fabricate. The per-call payment model makes it suitable for agentic pipelines where you only pay for what you use.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T18:46:47.048Z","isFirstParty":false}