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Endpoint · extractionPOSThubvibe-io.com/work/data/anomalies

Anomaly detection on a time series: score recent periods against history with BigQuery AI.DETECT_ANOMALIES (TimesFM).
Read moreAnomaly 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.
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https://hubvibe-io.com/work/data/anomalies
MCP server on this host: io.github.Its-fortunatefolly/hubvibe
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first 13 days ago · last 9 hr ago
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