{"uid":"cap_NArPkVf7q06MXSH4LOLVA","slug":"kihustle-json-outlier-detector-iqr-87d289a0","name":"KiHustle JSON Outlier Detector (IQR)","description":"Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.","url":"https://kihustle.tech/bot-bazaar/api/v1/json-outlier-detector-iqr?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"values":{"type":"array","items":{"type":"number"}}}},"responseSchema":{"type":"json","example":{"result":"processed","status":"success"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","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":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_b7mGe6zWlG_VQfn4H6b-l","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Detects statistical outliers in a numeric array using the Interquartile Range (IQR) method","exampleAgentPrompt":"Can you run outlier detection on this list of numbers using IQR? The values are: [12, 15, 14, 10, 200, 13, 11, 14, 9, 145, 12].","exampleUseCases":[{"title":"Clean sensor data before analysis","prompt":"I have a stream of temperature readings from my IoT sensors and I suspect a few are bad readings — can you run IQR outlier detection on these values and tell me which ones to throw out: [22.1, 21.8, 22.4, 99.3, 21.9, 22.0, 22.3, -50.1, 21.7]?"},{"title":"Flag suspicious revenue figures","prompt":"Here are daily revenue numbers from last month — can you check which ones are statistical outliers using the IQR method so I can investigate them further: [1200, 1350, 1100, 1280, 8900, 1190, 1310, 50, 1260, 1400]?"},{"title":"Validate survey response scores","prompt":"I collected Likert scale scores from 10 respondents and want to find any that look like data entry errors — please run IQR outlier detection on: [3, 4, 3, 5, 4, 3, 4, 100, 4, 3]."}],"resultDescription":"Returns a JSON object indicating which values in the input array are outliers as detected by the IQR method, along with a status field confirming successful processing. The response includes a 'result' field (processed) and 'status' (success), with outlier information derived from the IQR computation.","failureModes":["Empty or missing 'values' array results in an error","Non-numeric values in the array may cause processing failure","Insufficient data points (fewer than 4) may make IQR computation unreliable","Payment failure via x402 protocol returns 402 status","Malformed JSON body returns 400-level error"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, cost-effective statistical outlier detection step in a data pipeline and prefer IQR-based (robust, non-parametric) detection over z-score or ML-based approaches. It is ideal for quick data cleaning tasks, validating sensor readings, or flagging anomalous numeric values in small-to-medium datasets without standing up your own statistics library.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T12:47:50.350Z","isFirstParty":false,"canonicalSlug":"kihustle-json-outlier-detector-iqr-87d289a0"}