{"uid":"cap_hasgc-aRTElkbsICxRTbO","slug":"datanexusai-market-anomalies-api-46c8117d","name":"DataNexusAI Market Anomalies API","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/markets/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":"Z-score threshold."},"limit":{"type":"integer"},"countries":{"type":"string","example":"BG","description":"Comma-separated countries."},"commodities":{"type":"string","example":"1001","description":"Comma-separated commodities."},"min_percent":{"type":"number","description":"Default 40."}}}},"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_AgyD08fFoKUpKVfBPLAEt","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":"Detects statistical anomalies in EU agri-food commodity prices across countries using Z-score thresholds and percentage change filters","exampleAgentPrompt":"Show me the top 10 EU agri-food price anomalies for wheat (commodity 1001) in Bulgaria and Romania, using a Z-score threshold of 2.5 and a minimum 40% price deviation.","exampleUseCases":[{"title":"Wheat price spike monitoring","prompt":"Find me the biggest price anomalies for wheat (commodity 1001) across all EU countries right now, with a Z-score above 2 and at least 40% deviation from normal — give me the top 20 results."},{"title":"Country-level market irregularity scan","prompt":"Are there any unusual agri-food price movements in Bulgaria and Romania right now? Use a Z-score threshold of 3 and show me up to 15 anomalies."},{"title":"Broad EU commodity market surveillance","prompt":"I want to monitor the EU agri-food market for statistical outliers — detect all commodities with a Z-score above 2.5 and minimum 50% price deviation, and return the top 25 anomalies."}],"resultDescription":"A list of detected price anomalies in EU agri-food commodity markets, each record likely including the commodity code, country, statistical deviation metrics (Z-score), percentage price change, and contextual pricing data that flagged the anomaly.","failureModes":["Missing or invalid required query parameters may return 400 Bad Request","Payment not received or USDC micropayment failure returns 402 Payment Required","Unsupported country codes or commodity codes may return empty results or 422","Rate limiting or quota exceeded may return 429 Too Many Requests","No anomalies found for given filter combination returns empty result set"],"whenToPreferThis":"Use this endpoint when you need statistically-driven anomaly detection on EU agri-food commodity pricing — particularly when you want to filter by specific country codes, commodity identifiers, Z-score sensitivity, or minimum percentage deviations. Prefer this over raw price lookup endpoints when the goal is market surveillance, early-warning detection, or identifying outliers rather than retrieving baseline prices.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-03T00:44:20.149Z","isFirstParty":false,"canonicalSlug":"datanexusai-market-anomalies-api-46c8117d"}