{"uid":"cap_resLCXqXsePXtWg6KV4t2","slug":"genesis-agent-tools-prediction-calibration-7af46376","name":"GENESIS Agent Tools — Prediction Calibration","description":"Pay-per-call x402 APIs for autonomous agents on Base USDC: API compatibility analysis, bounded HTTP/JSON workflows, URL evidence analysis, crypto price consensus, and agent/MCP readiness checks.","url":"https://genesis-agent-tools.genesisagenttools.workers.dev/api/tools/prediction-calibration?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["pairs"],"properties":{"pairs":{"type":"array"}}},"responseSchema":{"type":"object","properties":{"brier_score":{"type":"number"},"calibration":{"type":"string"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.04","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":"$0.04/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.04","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.04","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_UbaUSGTf9X1agQ40oDQSu","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.04","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes Brier score and calibration quality for a set of probability-outcome pairs to assess how well-calibrated an agent's predictions are","exampleAgentPrompt":"Score the calibration of these prediction pairs for me — I have a list of probability-outcome pairs where I predicted things like 0.8 probability and the actual result was 1 or 0, and I want to know the Brier score and whether my estimates are well-calibrated.","exampleUseCases":[{"title":"Evaluating agent forecast reliability","prompt":"I have my AI agent's predictions from last month — it assigned probabilities like 0.7, 0.3, 0.9 to various events and I tracked which ones actually happened. Can you compute the Brier score and tell me how well-calibrated those predictions were?"},{"title":"Checking model confidence accuracy","prompt":"My classification model outputs confidence scores between 0 and 1 for each prediction. Here are the predicted probabilities paired with the actual binary outcomes — can you score how well-calibrated the model is and give me a Brier score?"},{"title":"Validating agent self-assessment quality","prompt":"My planning agent rates its own confidence on tasks and I've been logging whether it was right or wrong. Run a prediction calibration check on these probability-outcome pairs and tell me if it's over-confident, under-confident, or well-calibrated."}],"resultDescription":"Returns a numeric Brier score (lower is better, 0 is perfect) and a human-readable calibration quality string (e.g. 'well-calibrated', 'overconfident', 'underconfident') summarizing how accurately the submitted probability estimates matched actual outcomes.","failureModes":["Missing or empty 'pairs' array returns validation error","Pairs with probabilities outside [0,1] range may cause computation errors","Outcomes that are not binary (0/1) may produce unexpected results","Payment failure via x402 protocol blocks the request","Very large arrays may hit timeout or size limits on Cloudflare Workers"],"whenToPreferThis":"Choose this endpoint when you need a pay-per-call, agent-native calibration check using the x402 micropayment protocol on Base USDC — ideal for autonomous agents that need to self-evaluate prediction quality without a persistent subscription. Prefer over custom implementations when you want a quick Brier score plus a qualitative calibration label in a single API call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-01T00:53:00.110Z","isFirstParty":false,"canonicalSlug":"genesis-agent-tools-prediction-calibration-7af46376"}