{"uid":"cap_UT81pLPZo341YfKAVIK-O","slug":"kihustle-json-mad-outlier-clip-35a20b41","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/agents/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_WsHGJZe8DaMh4z8bMAvPV","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":"Identifies and clips outlier values from a numeric array, returning up to k outliers","exampleAgentPrompt":"Can you find and clip the top 3 outliers from this list of numbers: [12, 14, 200, 13, 11, 999, 15, 10, 8, 300]?","exampleUseCases":[{"title":"Clean noisy sensor data","prompt":"I have sensor readings [23, 25, 24, 500, 22, 26, 1000, 23] and I want to find the 2 most extreme outliers — can you clip those out for me?"},{"title":"Flag anomalies in sales figures","prompt":"Here are my monthly sales numbers: [1200, 1350, 1100, 9999, 1280, 50, 1400, 1300]. Pull out the top 2 outliers so I can investigate them."},{"title":"Statistical data preprocessing","prompt":"Before I run my analysis, I need to remove the 3 most extreme values from this array: [4.5, 4.7, 4.6, 99.1, 4.8, 0.01, 4.4, 4.9]. Can you clip those outliers for me?"}],"resultDescription":"Returns a JSON object with a 'result' field indicating the processed outcome and a 'status' field confirming success. The response reflects the clipped or identified outlier values from the input array based on the k parameter.","failureModes":["Missing or empty 'values' array returns an error","Non-numeric values in the array may cause processing failure","k exceeding the length of the values array may return unexpected results","Invalid k parameter type (non-number) causes schema validation failure","Network or payment failure returns a 402 or 5xx response"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, pay-per-call numeric outlier detection service with no setup or authentication overhead. Useful for quick data-cleaning tasks where you want to identify the k most extreme values in a numeric array without spinning up a full analytics pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:43:12.627Z","isFirstParty":false,"canonicalSlug":"kihustle-json-mad-outlier-clip-867cddd8"}