{"uid":"cap_3wYKQnRyZQCdGwhn8abHg","slug":"agentdiet-event-probabilities-d24b91d7","name":"AgentDiet Event Probabilities","description":"Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.","url":"https://rag-diet.agentdiet.dev/v1/event-probabilities?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","POST"],"type":"string"},"queryParams":{"type":"object","properties":{"topic":{"type":"string"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"data":{},"status":"ok","roi_proof":{"compression_ratio_pct":91.4}}},"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_owGNomYJTkeNEi0Vjq7Yx","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":"Returns probability estimates for events on a given topic, with context compression metrics showing token reduction ratios","exampleAgentPrompt":"What are the event probabilities around the topic of 'AI regulation in 2025'? I want a compressed, token-efficient analysis with the likelihood of various outcomes.","exampleUseCases":[{"title":"Election outcome probability analysis","prompt":"Can you get me the event probabilities for the topic 'US midterm elections 2026'? I want to see the likelihood of different outcomes in a compressed format."},{"title":"Market event likelihood estimation","prompt":"What are the event probabilities around 'Federal Reserve interest rate cuts in 2025'? Give me a token-efficient breakdown of the most likely scenarios."},{"title":"Tech product launch odds","prompt":"Pull the event probabilities for 'major AI model releases in Q3 2025' — I want to see what outcomes are most likely according to AgentDiet's analysis."}],"resultDescription":"A JSON object containing a 'data' field with event probability estimates for the requested topic, a 'status' field indicating success, and an 'roi_proof' object showing the compression ratio percentage (e.g. 91.4% compression), demonstrating token savings achieved by the context distillation process.","failureModes":["Missing required 'input' object returns validation error","Invalid 'type' field (must be 'http') causes rejection","Payment not settled in USDC on Base results in 402 response","Empty or unsupported topic string may return empty data object","Network timeout if the distillation computation exceeds limits"],"whenToPreferThis":"Choose this endpoint when you need probability estimates for events on a specific topic and also want verifiable proof of context compression (token savings). It is particularly useful for agents operating under tight context window constraints that need compressed, probabilistic intelligence rather than raw verbose output. Prefer this over generic probability APIs when the x402/USDC micropayment model fits your pipeline and you want deterministic B2A/A2A execution.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:44:36.634Z","isFirstParty":false,"canonicalSlug":"agentdiet-event-probabilities-d24b91d7"}