Anomaly Detection

AI-powered anomaly detection across crashes, network, performance, and logic issues

Anomaly Detection is an AI-powered monitoring system that automatically detects anomalies and regressions in your mobile and web applications. It categorizes issues by severity, calculates release health scores, generates natural language summaries, and helps you identify logic, performance, and crash anomalies.

Key Capabilities

Automatic Regression Detection – Identifies sudden spikes in crashes, logic errors, or network anomalies.
AI-Powered Release Summaries – Generates executive summaries of app health for each active version.
Multi-Platform Support – Separates and monitors both iOS and Android cohorts.
Deep Incident Mapping – Maps anomalies directly to affected devices, sessions, and raw log lines.

Documentation Sections

AI Summary

Analyze release health summaries, health score gauges, adoption rate, incidents, and critical crashes.

Anomalies

Review iOS and Android anomalies categorized by severity levels (Critical, High, Medium).

Anomaly Detail

Inspect occurrence metrics, confidence levels, root causes, affected devices, and logs mapping.