{"uid":"cap_0RsufzbVUYw9zCvCVIGec","slug":"kihustle-json-seasonality-detector-4f571143","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/agents/api/v1/json-seasonality-detector","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_uebK7hfyF9xGNjZlCqUiB","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 seasonality patterns in a time-series array of numeric values given a specified period length","exampleAgentPrompt":"Can you check if there's a seasonal pattern in this monthly sales data — here are 24 values: [120, 135, 160, 180, 175, 150, 130, 125, 140, 165, 185, 200, 125, 138, 162, 183, 178, 153, 133, 127, 143, 168, 188, 205] — use a period of 12.","exampleUseCases":[{"title":"Monthly revenue seasonality check","prompt":"I have 36 months of revenue numbers and want to know if there's a repeating annual pattern — the values are [5200, 4800, 5100, 6000, 6500, 7200, 7800, 7500, 6800, 6100, 5500, 5000, 5300, 4900, 5200, 6100, 6600, 7300, 7900, 7600, 6900, 6200, 5600, 5100, 5400, 5000, 5300, 6200, 6700, 7400, 8000, 7700, 7000, 6300, 5700, 5200], period 12. Can you run a seasonality check on these?"},{"title":"Weekly website traffic cycle detection","prompt":"Here are 8 weeks of daily website visit counts: [300, 420, 450, 430, 410, 200, 190, 310, 430, 460, 440, 420, 210, 195, 305, 425, 455, 435, 415, 205, 192, 308, 428, 458, 438, 418, 208, 193, 312, 432, 462, 442, 422, 212, 196, 316, 436, 466, 446, 426, 216, 198, 320, 440, 470, 450, 430, 220, 200, 325, 445, 475, 455, 435, 225, 202]. Can you detect whether there's a 7-day seasonal cycle in this data?"},{"title":"Quarterly e-commerce trend analysis","prompt":"I want to see if my e-commerce orders follow a quarterly seasonal pattern. Here are my order counts for the past 3 years by week: [200, 210, 195, 230, 220, 215, 205, 240, 250, 245, 260, 280, 200, 212, 198, 233, 223, 218, 208, 243] — analyze with period 13 for quarterly cycles."}],"resultDescription":"Returns a JSON object with a 'result' field indicating the seasonality detection outcome and a 'status' field confirming success. The exact seasonality metrics (e.g., detected period strength, seasonal flags) are inferred from the processed values and period parameter.","failureModes":["Missing or empty 'values' array causes a processing error","Non-integer 'period' value may be rejected or cause unexpected results","Period longer than the values array length may yield unreliable results","Malformed JSON input body returns an error response","All-identical values (zero variance) may produce degenerate seasonality output"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, low-cost ($0.002 per call) API call to quickly determine if a numeric time series exhibits seasonality for a given period. It is best suited for simple periodic-pattern checks on moderate-length arrays where you already know the candidate period. Prefer more advanced statistical libraries or endpoints if you need decomposition details, multiple period testing, or confidence intervals.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T07:16:09.114Z","isFirstParty":false}