{"uid":"cap_4LDL28vh7oehgO4MwfgCT","slug":"netintel-event-classify-f48c65de","name":"NetIntel Event Classify","description":"Cheap, fast \"is this a dateable event?\" filter for social and web text — one tiny Haiku call returns is_event, confidence, and a one-line reason, so agents can screen every post for free-ish and only pay for full extraction on the ones that pass. Front-end filter to /event-extract; intentionally minimal output for cost/latency discipline.","url":"https://netintel.dev/event-classify","method":"POST","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method","bodyType","body"],"properties":{"body":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Caption/post/snippet to classify. Required. Max 10000 words or 50KB."},"timezone":{"type":"string","description":"Optional IANA timezone (e.g. America/Los_Angeles) for date context."},"posted_at":{"type":"string","description":"Optional ISO-8601 timestamp the content was posted — lets the classifier reject past-event recaps (an event whose only date is in the past relative to posted_at is not dateable)."}}},"type":{"type":"string","const":"http"},"method":{"enum":["POST"],"type":"string"},"bodyType":{"enum":["json","form-data","text"],"type":"string"}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","properties":{"data":{"type":"object","description":"Minimal verdict: is_event (boolean), confidence (0-1), reason (one short line)."},"meta":{"type":"object"},"grade":{"type":"string"},"score":{"type":"number"},"findings":{"type":"array"}}}}}}},"responseSchema":{"type":"json","example":{"data":{"reason":"specific dated event","is_event":true,"confidence":0.93},"meta":{"model":"haiku-4.5"},"grade":"A","score":100,"findings":[]}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.02","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":"$0.02/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_GXkvioXXzHFOZpqVmKmyk","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.02","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Classifies whether a given text or topic refers to a specific real-world event (e.g. a dated occurrence) versus a general concept, returning a confidence score and reason.","exampleAgentPrompt":"Can you classify whether this text is describing a specific real-world event or just a general concept: 'The Federal Reserve emergency rate cut on March 15, 2020'? I want to know if it's an event, why, and how confident you are.","exampleUseCases":null,"resultDescription":"Returns a JSON object with: is_event (boolean indicating if the text describes a specific event), confidence (float 0-1), reason (human-readable explanation), plus a grade (letter A-F), numeric score (0-100), and any findings. Model metadata is included.","failureModes":["Input text is missing or empty — returns validation error, not billed","Upstream AI model failure — returns server error, not billed","Ambiguous text yields low confidence score (e.g. 0.4) with is_event uncertain","Rate limits or network timeouts from the underlying model provider","Text in unsupported language may yield lower accuracy or undefined behavior"],"whenToPreferThis":"Use this endpoint when you need to determine programmatically whether a piece of text or a search query refers to a specific, dated real-world event (news, incident, occurrence) versus a generic topic or concept. Ideal for routing logic in search engines, news classifiers, query understanding systems, or agent pipelines that behave differently for event-driven vs. evergreen content. Prefer it over general-purpose LLM calls for its pay-per-call micropayment model (no subscription), automatic no-charge on failures, and purpose-built confidence scoring.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T12:54:37.082Z","isFirstParty":false}