{"uid":"cap_o8jR8HEvkSZSsBgKwsOBk","slug":"kihustle-json-anomaly-window-detection-3d52858e","name":"KiHustle JSON Anomaly Window Detection","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-anomaly-window","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"values":{"type":"array","items":{"type":"number"}},"window":{"type":"integer"},"threshold":{"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_GfigAG62yoQ74oG2uFM_p","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 anomalies within a sliding window of numeric values using a configurable threshold","exampleAgentPrompt":"Check this array of sensor readings [12.1, 12.3, 45.9, 12.0, 11.8, 13.2, 46.1] for anomalies using a window of 3 and a threshold of 2.5.","exampleUseCases":[{"title":"Spike detection in IoT sensor stream","prompt":"I have a list of temperature readings from my IoT sensor — [20.1, 20.3, 20.0, 55.2, 20.4, 19.9, 20.2] — can you run anomaly detection with a window size of 4 and a threshold of 3.0 to catch any sudden spikes?"},{"title":"Financial metric outlier flagging","prompt":"Here are my daily revenue figures for the past two weeks: [1020, 1050, 980, 1100, 1030, 5500, 1010, 990, 1080, 1020, 970, 1040, 1060, 990]. Can you scan them for anomalies using a window of 5 and a threshold of 2.0?"},{"title":"Monitoring API latency for unusual slowdowns","prompt":"I've got a sequence of API response times in milliseconds: [120, 125, 118, 122, 890, 121, 119, 124, 130, 118]. Please run a sliding-window anomaly check with window size 3 and threshold 2.5 so I can see which readings are outliers."}],"resultDescription":"Returns a JSON object with a 'result' field indicating whether anomalies were found and a 'status' field confirming successful processing. Specific flagged indices or values are implied by the result field.","failureModes":["Missing or empty 'values' array returns an error or undefined behavior","Non-integer 'window' value may cause validation failure","Window size larger than the values array may produce no meaningful result","Threshold not provided may fall back to a default or cause a processing error","Network timeout on large arrays"],"whenToPreferThis":"Choose this endpoint when you need lightweight, low-latency anomaly detection on a numeric array using a sliding window approach and you want a simple pass/fail or flagged-result output. It is cost-effective at $0.002 per call for periodic monitoring tasks or embedded anomaly checks in automation pipelines. Prefer it over heavier ML-based anomaly detection services when you have a clear threshold value and a well-defined window size.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T19:03:10.154Z","isFirstParty":false}