{"uid":"cap_q9JIVVwqNnamiJ10U_DsH","slug":"kihustle-json-rolling-standard-deviation-fdc40888","name":"KiHustle JSON Rolling Standard Deviation","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-rolling-std-dev?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"values":{"type":"array","items":{"type":"number"}},"window":{"type":"integer"}}},"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_FytMj_fcIK0OijwAHwTmY","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":"Computes a rolling standard deviation over a sliding window of numeric values and returns the result as JSON","exampleAgentPrompt":"Calculate the rolling standard deviation for these daily price values [120.5, 121.3, 119.8, 122.1, 123.4, 121.0, 120.7] using a window size of 3.","exampleUseCases":[{"title":"Financial price volatility tracking","prompt":"I have these closing stock prices for the last 10 days: [145.2, 147.8, 144.1, 148.3, 150.0, 149.2, 151.4, 148.7, 152.3, 150.9] — can you compute the rolling standard deviation with a window of 5 so I can see how volatile it's been?"},{"title":"Sensor data noise detection","prompt":"I've got a stream of temperature sensor readings [22.1, 22.4, 23.8, 22.0, 21.9, 24.5, 22.3, 21.8, 22.6, 23.1] and I want to find noisy spikes using a rolling standard deviation over a window of 4 samples."},{"title":"Website traffic anomaly analysis","prompt":"Here are daily visitor counts for my site over the past two weeks: [340, 355, 362, 290, 410, 398, 375, 360, 512, 340, 355, 349, 370, 388] — run a rolling standard deviation with window 7 so I can see which days had unusually erratic traffic."}],"resultDescription":"Returns a JSON object with a 'result' field containing the computed rolling standard deviation output and a 'status' field indicating success. The result reflects the standard deviation computed over the specified sliding window across the provided numeric array.","failureModes":["Empty or missing 'values' array returns an error or undefined result","Window size larger than the input array length may produce empty or null results","Non-numeric values in the array cause parsing or computation errors","Window size of zero or negative integer is likely invalid and may return an error","Malformed JSON request body returns a 400-level error"],"whenToPreferThis":"Choose this endpoint when you need a quick, pay-per-call rolling standard deviation calculation without setting up a local statistics library or data pipeline. Ideal for lightweight agents processing time series data, financial signals, or sensor streams that need statistical dispersion computed on the fly. Best for small-to-medium numeric arrays where a sliding window volatility measure is sufficient.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T00:50:02.794Z","isFirstParty":false,"canonicalSlug":"kihustle-json-rolling-standard-deviation-fdc40888"}