Endpoint · extractionPOSThubvibe-io.com /work/data/anomalies
Anomaly detection on a time series: score recent periods against history with BigQuery AI.DETECT_ANOMALIES (TimesFM).
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Anomaly detection on a time series: score recent periods against history with BigQuery AI.DETECT_ANOMALIES (TimesFM). Give one table and its latest periods are scored against its own history, or a history and a target table. Returns every checked row with bounds, anomaly flag and probability, plus the anomaly count. Input: history_table, target_table, timestamp_col, data_col; optional target_last, threshold, id_cols.Overview
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URL
https://hubvibe-io.com/work/data/anomalies
MCP server on this host: io.github.Its-fortunatefolly/hubvibe
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About
- ?Description
- Anomaly detection on a time series: score recent periods against history with BigQuery AI.DETECT_ANOMALIES (TimesFM). Give one table and its latest periods are scored against its own history, or a history and a target table. Returns every checked row with bounds, anomaly flag and probability, plus the anomaly count. Input: history_table, target_table, timestamp_col, data_col; optional target_last, threshold, id_cols.
- URL
- https://hubvibe-io.com/work/data/anomalies
- Method
- POST
- Class
- extraction
- ?Checkable to
- L1
- Endpoint id
- cap_01M317X6W36SK2R1ZXYMDGD07T
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