{"uid":"cap_1qU5nc9udwxXGs2h-7zC8","slug":"kihustle-json-mad-outlier-clip-1206ed6d","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/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_dS8oWiZVZRkII9uVTs8FT","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 numbers with a parameter k to identify or clip outlier values, returning a processed result","exampleAgentPrompt":"Can you clip the outliers from this list of numbers [1, 2, 3, 100, 4, 5, 200, 3] using a k value of 2?","exampleUseCases":[{"title":"Sensor data outlier removal","prompt":"I have sensor readings [0.5, 0.6, 0.55, 99.9, 0.58, 0.61, -50.0, 0.59] and I want to clip out the extreme outliers using k=3 — can you process that for me?"},{"title":"Financial data cleaning","prompt":"Clean up these daily return values [0.01, 0.02, -0.01, 5.5, 0.03, -4.8, 0.02] by clipping mad outliers with k=2 so I can use them in my model."},{"title":"Survey score normalization","prompt":"I've got survey scores [7, 8, 6, 100, 7, 8, -50, 9, 7] and need to remove the crazy outliers — run them through outlier clipping with k=2.5 please."}],"resultDescription":"Returns a JSON object with a 'result' field containing the processed output and a 'status' field indicating 'success' or failure. The processed result reflects the numeric array after outlier clipping or filtering based on the k parameter.","failureModes":["Invalid input: non-numeric values in the values array returns an error","Missing required fields: omitting k or values causes a 400-level error","Empty array: passing an empty values array may return an error or trivial result","k value out of meaningful range: extremely large or zero k may produce unexpected clipping behavior","Payment failure: insufficient USDC balance or x402 payment error blocks the request"],"whenToPreferThis":"Use this endpoint when you need a lightweight, pay-per-call statistical outlier clipping operation on a numeric array without setting up a full data-science environment. It is suitable for small to medium numeric arrays where you need quick outlier removal via a k-factor threshold, especially in automated agent pipelines that already use x402 micropayments.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T12:43:25.584Z","isFirstParty":false,"canonicalSlug":"kihustle-json-mad-outlier-clip-867cddd8"}