{"uid":"cap_o3GDDuUTuMjeO3L1gblS6","slug":"kihustle-json-anomaly-window-detector-c5c90658","name":"KiHustle JSON Anomaly Window Detector","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-anomaly-window?utm_source=zero.xyz","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_MiSGCWgzMWB3iQ_fx6Zyy","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 in a sliding window of numeric values using a configurable threshold","exampleAgentPrompt":"Can you run a sliding window anomaly check on these sensor readings [12.1, 13.4, 12.8, 99.2, 12.5, 13.0, 11.9] using a window size of 3 and flag anything that exceeds a threshold of 2.5?","exampleUseCases":[{"title":"Detect spikes in sales data","prompt":"I have a list of daily sales figures for the past 30 days and want to find unusual spikes — can you run a sliding window anomaly scan on them with a window of 7 days and a threshold of 3.0?"},{"title":"Monitor IoT sensor outliers","prompt":"These are temperature readings from my IoT device over the last hour: [21.1, 21.3, 21.0, 78.5, 21.2, 21.4] — can you check for anomalies using a window of 4 and a threshold of 2.0?"},{"title":"Flag anomalous website traffic","prompt":"Here are my hourly page view counts: [500, 510, 495, 503, 1450, 498, 501] — can you run a window anomaly detection with window size 5 and threshold 2.5 to see if that big spike is a real outlier?"}],"resultDescription":"Returns a JSON object indicating whether anomalies were detected in the submitted numeric window, along with a processing status field confirming success. The result field reflects the computed outcome of the anomaly scan.","failureModes":["Missing or empty 'values' array returns an error or unprocessed result","Non-numeric values in the array may cause a processing failure","Window size larger than the values array length may produce undefined behavior","Threshold not provided may default to an unspecified value, leading to unexpected results","Malformed JSON body returns a 400-level error"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, low-cost ($0.002 per call) sliding window anomaly detection over a numeric sequence and do not require a full-featured time-series platform. It is best suited for simple outlier flagging tasks where you can specify a window size and numeric threshold directly.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:40:56.491Z","isFirstParty":false,"canonicalSlug":"kihustle-json-anomaly-window-detector-ea311c50"}