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The

elementary.column_anomalies

test does not support a

count

monitor as part of its available metrics. According to the documentation, the supported monitors include metrics like

null_count

,

null_percent

,

min

,

max

,

average

,

sum

(opt-in for numeric columns), and others, but

count

is not listed as an available option for column-level anomaly detection [Column anomalies configuration](https://docs.elementary-data.com/data-tests/anomaly-detection-configuration/column-anomalies). If you need to monitor the count of values (such as the number of non-null entries or distinct values), you would need to use or derive other metrics, or create a custom test or model as a workaround.