/analyst-sentinel
Data validation engine. Checks normalized data against configurable rules and historical patterns to flag anomalies.
Ensure data quality by running validation rules against normalized datasets and flagging values that fall outside expected patterns.
validate.run: executes all active rules against a dataset. validate.check: runs a single rule. validate.history: compares current values against historical baselines to detect trend deviations.
Run all active validation rules against a dataset
Run a single validation rule
Compare dataset against historical baselines
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