{"uid":"cap_CRlFqX0z4_VbP4zeLPdR_","slug":"kihustle-json-seasonality-detector-b28e550f","name":"KiHustle JSON Seasonality 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-seasonality-detector?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"period":{"type":"integer"},"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_izcTKPObY0fqLFihUtBU5","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 seasonal patterns in a numeric time series given a period and array of values, returning a processed result","exampleAgentPrompt":"Can you check my monthly sales figures for seasonal patterns? The values are [120, 135, 90, 80, 110, 140, 95, 85, 115, 138, 92, 82] and the seasonality period is 12.","exampleUseCases":[{"title":"E-commerce seasonal sales detection","prompt":"I have 24 months of online store revenue data — [850, 920, 780, 700, 860, 950, 790, 710, 855, 940, 775, 695, 870, 930, 785, 705, 865, 955, 800, 720, 860, 945, 790, 710] — can you detect if there's a repeating seasonal pattern with a period of 12?"},{"title":"Weekly website traffic cycle analysis","prompt":"Here are 8 weeks of daily website visitor counts: [1200, 1350, 1300, 1280, 1400, 900, 850, 1210, 1360, 1310, 1290, 1410, 910, 860, 1220, 1370, 1320, 1295, 1420, 920, 870, 1215, 1355, 1305, 1285, 1405, 905, 855, 1225, 1365, 1315, 1290, 1415, 915, 865, 1218, 1358, 1308, 1288, 1408, 908, 858, 1222, 1362, 1312, 1292, 1418, 912, 862, 1228, 1368, 1318, 1298, 1422, 922, 872]. Can you run seasonality detection with a period of 7?"},{"title":"Quarterly revenue pattern detection","prompt":"I want to know if our quarterly revenue has a seasonal cycle. The values for the past 3 years by quarter are [200, 220, 180, 240, 205, 225, 185, 245, 210, 230, 190, 250] — please detect seasonality with a period of 4."}],"resultDescription":"A JSON object indicating whether seasonality was detected, with a 'result' field (e.g. 'processed') and a 'status' field (e.g. 'success'). The response confirms processing completion but may not include detailed decomposition metrics beyond the top-level result.","failureModes":["Missing or malformed 'values' array returns an error","Invalid 'period' integer (e.g. zero or negative) may cause processing failure","Insufficient data points relative to the period may yield unreliable results","Network or payment authorization failure returns 402 before processing begins","Empty values array may return an error or trivial result"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, low-cost ($0.002/call) API call to check for seasonality in a numeric array without setting up a full data science pipeline. It is best suited for quick automated checks on pre-aggregated time series data where you already know the candidate period. Prefer a more robust statistical library or platform if you need detailed decomposition output, confidence intervals, or multiple period candidates.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:43:51.144Z","isFirstParty":false,"canonicalSlug":"kihustle-json-seasonality-detector-7e8daffc"}