{"uid":"cap_hyKiNumIwbuBG5JcIWTe4","slug":"verdict-answer-gate-9826da71","name":"Verdict Answer Gate","description":"For model cascades: is the small model's answer usable, or should the larger model be paid? Detects refusal, evasion, off-topic answers, contradiction and incompleteness; decides accept, review or escalate. Does not fact-check without a source: provide the source to check substance.","url":"https://verdict.kechlab.com/v1/answer-gate?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"task":{"type":"string","description":"the requested task"},"answer":{"type":"string","description":"the answer produced by the first model"},"source":{"description":"(optional) reference text to check consistency"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.0092","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":"$0.0092/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0092","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0092","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_WgkffmojsjzSY50Lff_Ih","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.0092","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Evaluates whether a small model's answer is acceptable or needs escalation to a larger model by detecting refusal, evasion, off-topic responses, contradiction, and incompleteness.","exampleAgentPrompt":"My small model answered the task 'Summarize the EU AI Act in 3 bullet points' with 'I cannot provide legal summaries' — can you check if that answer is acceptable or if I should escalate to the larger model?","exampleUseCases":[{"title":"Model cascade routing for chatbot","prompt":"The user asked 'What are the tax implications of selling crypto?' and my cheap model replied 'Tax rules vary by country, please consult a professional.' Check if that answer actually addresses the task or if I should pay to run the big model on it."},{"title":"Detecting evasive coding assistant responses","prompt":"My small coding model was given the task 'Write a Python function to parse ISO 8601 dates' and it replied 'There are many ways to handle dates in Python.' Is that answer complete and on-topic, or should I escalate?"},{"title":"Quality gate in document QA pipeline","prompt":"I asked my first-pass model to answer 'What is the termination notice period?' from a contract, and it said 'The document discusses several clauses.' Here's the source text: [contract excerpt]. Does the answer match the source, or is it incomplete and needs escalation?"}],"resultDescription":"A structured decision indicating accept, review, or escalate, along with detected issues such as refusal, evasion, off-topic content, contradiction, or incompleteness. When a source is provided, consistency against that reference is also evaluated.","failureModes":["Missing required 'task' or 'answer' fields returns an error","Fact-checking without a 'source' field is not performed — substance cannot be verified without a reference","Very short or ambiguous tasks may produce low-confidence classifications","Payment failure via x402 protocol results in 402 response before evaluation occurs"],"whenToPreferThis":"Use this endpoint when building LLM model cascade pipelines where you want to avoid paying for expensive large models on every query. It is ideal when a cheap/small model is the first responder and you need an automated, low-latency judge to decide whether the answer is good enough or requires escalation. Prefer this over general LLM-based evaluation when you need structured accept/review/escalate verdicts focused specifically on refusal, evasion, off-topic, contradiction, and incompleteness — not general quality scoring or fact-checking (fact-checking requires providing source text).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:20:34.557Z","isFirstParty":false,"canonicalSlug":"verdict-answer-gate-9826da71"}