Anomaly Detection

Detect anomalies in Axiom datasets by comparing recent patterns to historical baselines using statistical analysis.

Arguments

When invoked with a dataset name (e.g., /detect-anomalies logs), it's available as $ARGUMENTS.

Prerequisites

Statistical anomaly detection requires sufficient data:

• Minimum data points: Z-score and standard deviation need ≥30 samples per bucket for statistical significance
• Historical baseline: At least 24 hours of data for meaningful comparison (methods use 25h lookback)
• Consistent ingestion: Gaps in data collection will skew baselines

If these aren't met, results may be misleading. Consider using simpler threshold-based alerting instead.

Schema Discovery