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KiHustle JSON Seasonality Detector
x402
KiHustle JSON Seasonality Detector is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-20).
Detects seasonal patterns in a numeric time series given a period and array of values, returning a processed result
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
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.
Example use cases
E-commerce seasonal sales detection
“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?”
Weekly website traffic cycle analysis
“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?”
Quarterly revenue pattern detection
“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.”
Technical details
Endpoint
POSThttps://kihustle.tech/bot-bazaar/api/v1/json-seasonality-detector?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| period | integer | |
| values | array |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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