{"uid":"cap_Por__5tzotqldbzr1e1Jp","slug":"ddg-model-consensus-b9a11c00","name":"DDG Model Consensus","description":"Machine-payable DDG services for AI agents. Current public live payment rails are x402 multi-chain USDC and direct-crypto auto/manual for public receiving-address families. MPP/Stripe/Tempo is installed but pending live provider env plus penny-settlement proof before any MPP-live advertisement. DDG sells bounded artifacts/results, not raw provider account access.","url":"https://agents.daedalusdevelopmentgroup.com/v1/model-consensus","method":"POST","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input","output"],"properties":{"input":{"type":"object","required":["type","method","bodyType","body"],"properties":{"body":{"type":"object"},"type":{"type":"string","const":"http"},"method":{"enum":["POST","PUT","PATCH"],"type":"string"},"bodyType":{"enum":["json","form-data","text"],"type":"string"}},"additionalProperties":true},"output":{"type":"object","required":["type","example"],"properties":{"type":{"type":"string"},"example":{"ok":true,"service":"model_consensus","consensus":"...","agreement_ratio":0.67}},"additionalProperties":true}}},"responseSchema":{"type":"json","example":{"ok":true,"service":"model_consensus","consensus":"...","agreement_ratio":0.67}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.03","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":"$0.03/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_Y7LKM9SVXoWEQVI59HPSn","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.03","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs a prompt across multiple AI models and returns a consensus answer with agreement ratio","exampleAgentPrompt":"Can you run this question through multiple AI models and tell me what they collectively agree on — 'What is the capital of Australia?' — along with how strongly they agree?","exampleUseCases":[{"title":"Fact-checking AI answer reliability","prompt":"I want to double-check this AI answer: 'The boiling point of water at sea level is 100°C.' Run it through multiple models and tell me if they all agree and how strong the consensus is."},{"title":"Reducing hallucination in critical decisions","prompt":"Before I rely on this answer — 'Aspirin should not be given to children under 12 due to Reye's syndrome' — can you cross-check it with multiple AI models and give me a consensus and agreement score?"},{"title":"Resolving conflicting AI responses","prompt":"I got different answers from two AIs about who invented the World Wide Web. Can you poll multiple models on 'Who invented the World Wide Web?' and tell me what the consensus answer is and how much they agree?"}],"resultDescription":"Returns a JSON object with ok (boolean), service name ('model_consensus'), a consensus string representing the aggregated answer across models, and an agreement_ratio (0.0–1.0 float) indicating how strongly the models aligned on that answer.","failureModes":["Invalid or missing body fields return a 400-level error","Payment not received or insufficient USDC triggers a 402 Payment Required","Models fail to reach quorum, resulting in low agreement_ratio or empty consensus","Malformed JSON body causes parsing errors","Upstream model provider outages may cause partial or no consensus","Network timeouts if models take too long to respond"],"whenToPreferThis":"Choose this endpoint when you need to validate or cross-check an AI-generated answer by aggregating responses from multiple LLMs, especially in high-stakes or factual domains where hallucination risk is a concern. It is particularly valuable when a single model's output is unreliable or when you want a confidence signal (agreement_ratio) alongside the answer. Prefer over single-model inference endpoints when accuracy and consistency across models matter more than raw speed or cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T12:44:33.804Z","isFirstParty":false}