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.
| Network | Scheme | Amount | Pay To |
|---|---|---|---|
| Base | exact | $10.00 USDC | 0x837C...77dd |
| solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp | exact | 10.00 tokens | J1K4md...icSh |