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Anomaly Detection

Automatically identify outliers and unusual patterns that need your attention before they become problems.

Available on PRO tiers. Upgrade now to get early access when this feature launches.

Proactive Problem Detection

Don't wait for issues to escalate. Our AI continuously monitors your data for unusual patterns, spikes, drops, and outliers—alerting you the moment something needs attention.

What Gets Detected

Unexpected Spikes

Sudden increases in metrics that deviate from normal patterns and historical behavior.

Unusual Drops

Sharp decreases that fall outside expected ranges, potentially indicating issues.

Pattern Breaks

Deviations from established trends and seasonal patterns in your data.

Statistical Outliers

Data points that are statistically significant deviations from the norm.

Intelligent Alert System

Not all anomalies are created equal. Our AI learns what matters to your business and prioritizes alerts accordingly:

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Critical Anomalies

Immediate alerts for severe deviations that require urgent attention.

Warning Level

Moderate anomalies that should be monitored and investigated soon.

Informational

Minor deviations noted for awareness and context.

Detection Methods

  • Statistical Analysis: Z-scores, standard deviations, and interquartile range calculations
  • Machine Learning Models: Isolation forests and other ML algorithms trained on your data
  • Time Series Forecasting: Predictions with confidence intervals to identify deviations
  • Context-Aware Rules: Business logic combined with statistical analysis for smart alerts

Example Alerts

Critical: Website uptime dropped to 94.2%, 3 standard deviations below normal. Investigate immediately.

Warning: Daily active users decreased by 18% compared to last week's average. Review recent changes.

Info: Signup conversion rate is 8% higher than usual. Consider capturing what's working well.

Stay ahead of issues

Start detecting anomalies before they become problems with intelligent AI monitoring.