{"uid":"cap_QTwiHKAuS0kRHRPOcYRPi","slug":"kihustle-json-mad-outlier-clip-867cddd8","name":"KiHustle JSON Mad Outlier Clip","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/nexus/api/v1/json-mad-outlier-clip?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"k":{"type":"number"},"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_mZ5SdQyZinFE3QeDwg0W2","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":"Processes an array of numeric values with a parameter k, returning a processed result with success status","exampleAgentPrompt":"I have this list of numbers [12, 45, 3, 200, 8, 15] and I want to clip or filter outliers using k=2.5 — can you run that through the mad outlier clip processor and tell me the result?","exampleUseCases":[{"title":"Outlier removal from sensor data","prompt":"I've got a series of temperature sensor readings [22.1, 23.4, 98.6, 22.8, 21.9, 24.0] and I want to clip out the crazy outliers using k=3 — can you process that array and return the cleaned result?"},{"title":"Statistical filtering for analytics pipeline","prompt":"Can you run these revenue figures [500, 510, 488, 4900, 502, 495] through the mad outlier clip with k=2 so I can remove extreme values before I chart them?"},{"title":"Data quality check on numeric list","prompt":"I need to check this array of user scores [70, 72, 68, 150, 71, 69] for wild outliers — use k=2.5 and let me know what the processed output looks like."}],"resultDescription":"A JSON object containing a 'result' field indicating the outcome of the numeric processing and a 'status' field confirming success. The exact shape of processed values is minimal and opaque based on the example schema.","failureModes":["Missing or invalid 'values' array may cause processing to fail","Non-numeric entries in the values array will likely produce an error","Missing 'k' parameter may result in a bad request","Network or payment authentication failure returning 402","Malformed JSON body returning a 400 error"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, pay-per-call numeric outlier clipping computation without standing up your own statistics infrastructure. Useful for small automation pipelines or agent workflows that occasionally need to sanitize numeric arrays using MAD-based outlier detection with a configurable k threshold.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:15.557Z","isFirstParty":false,"canonicalSlug":"kihustle-json-mad-outlier-clip-867cddd8"}