Data Analysis
Time Series Forecast & Seasonality Analyzer
Forecast future periods from CSV or JSON time-series data and inspect trend, seasonal, and residual decomposition in one report
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Quick start
Call this tool from your code in three languages.
cURL
# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/time-series-forecast-seasonality-analyzer' \
-H 'Content-Type: application/json' \
-d '{"filename":"dataFile.ext","contentType":"application/octet-stream","size":12345}'
# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
--data-binary @/path/to/file.ext
# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'https://api.elysiatools.com/en/api/tools/time-series-forecast-seasonality-analyzer' \
-F 'seriesInput=timestamp,value
2026-01-01,120
2026-01-02,128
2026-01-03,132
2026-01-04,125
2026-01-05,140
2026-01-06,148
2026-01-07,145
2026-01-08,126
2026-01-09,133
2026-01-10,138' \
-F 'dataFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
-F 'timestampColumn=timestamp' \
-F 'valueColumn=value' \
-F 'model=arima' \
-F 'forecastPeriods=8' \
-F 'seasonLength=7' \
-F 'confidenceLevel=0.95' \
-F 'exportFormat=json'