{"uid":"cap_2JvBMcdheBFg8jsXhZIkY","slug":"z-score-iqr-outlier-detector-fa49a803","name":"Z-Score & IQR Outlier Detector","description":"Detect anomalous data points in a numeric series using both Z-score thresholds and Tukey 1.5x IQR fences.","url":"https://bot-bazaar.fly.dev/v1/x402/zscore-iqr-outlier-detect?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":{"series":{"type":"string","description":"Comma-separated numeric values"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"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_m0vtu4gtYZG1uKocqCaM0","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 anomalous data points in a numeric series using both Z-score thresholds and Tukey 1.5x IQR fence methods.","exampleAgentPrompt":"Can you check this list of numbers for outliers using both Z-score and IQR methods: 12, 15, 14, 10, 13, 11, 99, 14, 12, 13?","exampleUseCases":[{"title":"Flagging anomalous sensor readings","prompt":"I have a series of temperature sensor readings and I think there are some faulty spikes in there — can you run outlier detection on these values: 22.1, 21.8, 22.5, 22.0, 87.3, 21.9, 22.3, 21.7?"},{"title":"Quality-checking financial data","prompt":"Before I run my model, can you scan this list of monthly revenue figures for statistical outliers using Z-score and IQR: 50200, 51000, 49800, 52000, 50500, 12000, 51200, 50900?"},{"title":"Validating experiment results","prompt":"I just got my lab measurement results back — can you check if any of these readings are anomalous outliers: 3.4, 3.6, 3.5, 3.7, 3.4, 3.6, 11.2, 3.5, 3.6?"}],"resultDescription":"Returns the results of both Z-score threshold analysis and Tukey 1.5x IQR fence analysis on the input numeric series, identifying which data points are flagged as outliers by each method, along with their indices and values.","failureModes":["Missing or malformed 'series' query parameter returns an error","Non-numeric characters in the series cause a parse error","Too few data points (fewer than 3-4) may produce unreliable or error results","Empty series input returns an error","Payment failure or 402 response if x402 payment is not properly handled"],"whenToPreferThis":"Choose this endpoint when you need dual-method statistical outlier detection (Z-score and IQR together) on a simple numeric series without setting up a local stats library. Ideal for quick data quality checks, pre-processing pipelines, or validating experiment results in an agentic workflow where a $0.01/call micro-payment is acceptable.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T18:40:46.570Z","isFirstParty":false,"canonicalSlug":"z-score-iqr-outlier-detector-fa49a803"}