{"uid":"cap_h3W5ca-JQWuB1HXX_-JNm","slug":"kihustle-json-anomaly-window-detector-ea311c50","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/bot-bazaar/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_B03z1BIvZ5gb8OpFxgz8D","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 detection on these sensor readings [12.1, 13.4, 11.9, 45.2, 12.8, 13.1] using a window size of 3 and flag anything more than 2.5 standard deviations away as anomalous?","exampleUseCases":[{"title":"Spike detection in server metrics","prompt":"I have a list of CPU usage percentages recorded every minute: [45, 47, 44, 48, 92, 46, 45, 47]. Can you run a sliding window check of size 4 with a threshold of 2.0 to catch any unusual spikes?"},{"title":"Sales data outlier flagging","prompt":"Here are my daily sales figures for the past two weeks: [200, 210, 195, 205, 198, 600, 203, 197, 208, 201]. Use a window of 5 and a threshold of 2.5 to flag any outlier days."},{"title":"IoT sensor anomaly alert","prompt":"I'm getting temperature readings from a sensor: [22.1, 21.8, 22.4, 21.9, 38.7, 22.0, 21.7]. Run a 3-point sliding window anomaly check with a threshold of 2.0 and tell me which readings look suspicious."}],"resultDescription":"Returns a JSON object indicating whether anomalies were detected in the input array, along with a success status. The response includes a 'result' field (e.g. 'processed') and a 'status' field confirming successful execution. Specific flagged indices or anomaly details may vary.","failureModes":["Missing or empty 'values' array returns an error","Non-numeric values in array may cause processing failure","Window size larger than the input array length may produce undefined behavior","Threshold not provided defaults may vary; omission could affect detection sensitivity","Malformed JSON body returns a 400-level error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, low-cost ($0.002/call) sliding window anomaly detection on a numeric array without standing up your own statistical infrastructure. It is well-suited for real-time monitoring pipelines, spot-checks on small metric streams, or automation workflows that need a quick anomaly signal. Prefer dedicated ML-based anomaly detection services for large-scale, multi-dimensional, or high-precision use cases.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T12:43:34.065Z","isFirstParty":false,"canonicalSlug":"kihustle-json-anomaly-window-detector-ea311c50"}