{"uid":"cap_jsd00do_vsVNIlC2_VX5b","slug":"datanexusai-anomalies-detection-endpoint-37c47534","name":"DataNexusAI Anomalies Detection Endpoint","description":"Public data API for SEBRA payments, PTP road accidents, Hearthstone cards, EU agri-food prices, and trade/market analytics. Paid data endpoints use x402 (USDC micropayments). Docs and discovery endpoints are free.\n\nMachine-readable discovery: `https://api.datanexusai.org/openapi.json`, `https://api.datanexusai.org/llms.txt`, `https://api.datanexusai.org/.well-known/x402`.\n\nHuman docs: `/docs` and `/api/`.","url":"https://api.datanexusai.org/api/v1/anomalies?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","properties":{"z":{"type":"number","description":"Min |zscore| (default 3)."},"limit":{"type":"integer","example":20},"offset":{"type":"integer"},"min_percent":{"type":"number","example":40,"description":"Min |percent_change| (default 25)."}}}},"additionalProperties":false}}},"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_XteM3pdhdStNKrjOApyH-","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 statistical anomalies across EU agri-food prices, SEBRA payments, and trade/market data based on z-score and percent-change thresholds","exampleAgentPrompt":"Show me the top 20 statistical anomalies in the DataNexusAI dataset where the z-score is at least 3.5 and the percent change is at least 40 percent.","exampleUseCases":[{"title":"Spike detection in EU food prices","prompt":"Pull the top 20 anomalies from the EU agri-food price data where z-score is above 3 and percent change is at least 40 percent — I want to see what commodities had the most unusual price movements."},{"title":"Monitoring unusual SEBRA payment flows","prompt":"Check for any statistical outliers in the SEBRA payment data with a z-score threshold of 4 and give me the first 10 results — I need to flag anything that looks like an unusual disbursement pattern."},{"title":"Market analytics outlier report","prompt":"Get me the latest anomaly report from the trade and market analytics data, using the default z-score of 3 and a minimum percent change of 25, and return up to 50 records starting from offset 0."}],"resultDescription":"A paginated list of anomaly records from public datasets (EU agri-food prices, SEBRA payments, trade/market analytics) where each record includes the z-score, percent change, and relevant dataset identifiers for data points that exceed the specified statistical thresholds.","failureModes":["Missing or invalid 'input' object returns a 400 validation error","Payment not completed via x402 USDC micropayment returns 402 Payment Required","z or min_percent values outside reasonable numeric ranges may return empty results or 422","offset beyond dataset size returns empty result set","Network or upstream data source unavailability returns 5xx error"],"whenToPreferThis":"Choose this endpoint when you need to programmatically surface statistical outliers across EU agri-food prices, SEBRA payments, or trade/market data without building your own anomaly detection pipeline. It is well-suited for monitoring workflows, automated alerting, and exploratory analysis where tunable z-score and percent-change thresholds give precise control over sensitivity. At $0.01 USDC per call via x402 micropayments, it is cost-effective for periodic polling or agent-driven anomaly sweeps.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-03T00:43:31.742Z","isFirstParty":false,"canonicalSlug":"datanexusai-anomalies-detection-endpoint-37c47534"}