detect-anomalies

What problem does it solve?

Identify anomalies in Axiom datasets using statistical analysis to reveal unusual patterns.

Core Features & Use Cases

• Volume-based anomaly detection using z-scores to compare recent vs baseline data
• New value detection to surface previously unseen categorical values
• Statistical outliers and latency changes detection across time windows
• Generate anomaly reports suitable for collaboration and alerting

Quick Start

Set up your environment and run an example anomaly check on a dataset named logs: axiom query "['logs'] | where _time >= ago(1h) | summarize count() by bin(_time, 5m)" --start-time -1h -f json