{"uid":"cap_rHh65-haA3YYPf6ccfBTZ","slug":"agent-council-quick-panel-3-models-1-round-0a119bd1","name":"Agent Council – Quick Panel (3 Models, 1 Round)","description":"Put one question to a panel of 3 different AI models and get a single verdict back. Each model answers independently, then a chair synthesizes: verdict, confidence, the points they all agreed on, the dissent, and what would flip the answer. Use it for judgement calls where one model's opinion is not enough: is this safe, is this worth it, which option. No account, no API key, one USDC micropayment per call.","url":"https://council.cyberwarex.com/council?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","required":["q"],"properties":{"q":{"type":"string","maxLength":2000,"description":"The question to put to the council (required, max 2000 chars). A decision question works best: include the options and the constraints."}},"additionalProperties":false}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","properties":{"mode":{"enum":["quick","deep"],"type":"string"},"panel":{"type":"array","items":{"type":"object"},"description":"each seat's position, confidence and the model that argued it."},"seats":{"type":"integer"},"rounds":{"type":"integer"},"dissent":{"type":"array","items":{"type":"object"},"description":"real disagreements, as {seat, point} - empty when the panel agreed."},"verdict":{"type":"string","description":"the council's answer, synthesized by the chair."},"question":{"type":"string"},"consensus":{"type":"array","items":{"type":"string"}},"watch_for":{"type":"array","items":{"type":"string"},"description":"what would flip the verdict."},"confidence":{"type":"integer","description":"0-100, lower when the seats disagreed."},"elapsed_sec":{"type":"number"}}}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_gw6i4L-ozPhQuk5PxgS1b","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Submits a decision question to a panel of 3 independent AI models, then returns a synthesized verdict with confidence score, consensus points, dissent, and what would flip the answer.","exampleAgentPrompt":"Ask the AI council whether we should launch our new pricing model next week or wait until Q2 — we'd be moving from flat-rate to usage-based, and our top 20 customers haven't been notified yet.","exampleUseCases":[{"title":"Safety check before deploying code","prompt":"Put this to the council: is it safe to deploy a database migration that drops the legacy 'users_v1' table in production tomorrow, given that we've run it in staging for 3 days but haven't notified downstream teams?"},{"title":"Choosing between two product strategies","prompt":"I need a panel of AI models to weigh in on this: should we build our own recommendation engine in-house or integrate a third-party SaaS solution, given we have a team of 4 engineers and a 6-month runway?"},{"title":"Evaluating legal or ethical risk","prompt":"Ask the council whether it's acceptable to use publicly scraped LinkedIn profile data to train an internal HR matching model, given that we're a US company and the data includes EU residents."}],"resultDescription":"Returns a JSON object containing: a synthesized verdict string, an integer confidence score (0–100, lower when seats disagreed), an array of consensus points all models agreed on, a dissent array of real disagreements between seats, a watch_for array of conditions that would flip the verdict, a panel array with each seat's individual position and the model behind it, plus metadata (seats, rounds, mode, elapsed_sec, original question).","failureModes":["Missing required 'q' parameter returns a 400 or error response","Question exceeds 2000 character limit and is rejected","One or more underlying AI model calls fail, potentially degrading confidence or response completeness","Payment of 0.01 USDC not completed or x402 handshake fails, resulting in 402 Payment Required","Ambiguous or poorly framed question produces a low-confidence verdict with broad dissent","Network timeout if deliberation takes longer than expected"],"whenToPreferThis":"Choose this endpoint when you need a quick, cheap multi-model sanity check on a binary or comparative judgement call and a single AI opinion feels insufficient. It's ideal for go/no-go decisions, option comparisons, or safety checks where you want structured dissent and a confidence signal. Prefer the deep council (4 models, 2 rounds) for higher-stakes decisions, and the grounded council when the question depends heavily on current facts. At $0.01 USDC with no account or API key required, it's the lowest-friction option for one-shot deliberation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:31:54.457Z","isFirstParty":false,"canonicalSlug":"agent-council-quick-panel-3-models-1-round-0a119bd1"}