Intelligent Anomaly Detection for Time Series
Automatically identify unusual patterns, outliers, and data anomalies in your time series. Spot issues before they impact your business and discover hidden opportunities.
Anomaly Detection
Alerts ActiveWhy Teams Choose Our Anomaly Detection
Built for modern applications and real-time monitoring
Early Warning System
Detect issues before they escalate. Get instant alerts when your metrics deviate from normal patterns.
Smart Pattern Recognition
Advanced algorithms automatically learn your data patterns and adapt to seasonal variations.
Reduce False Positives
Intelligent filtering reduces noise and focuses on anomalies that actually matter to your business.
Advanced Anomaly Detection API
Comprehensive anomaly detection with multiple detection methods
Anomaly Detection Endpoint Features
Required Parameters
- • identifier: Data series ID
- • data: Time series data points
- • frequency: H (hourly), D (daily), W (weekly)
Detection Methods
- • auto: Automatically select best method
- • zscore: Z-score statistical detection
- • iqr: Interquartile range method
- • seasonal: Seasonal decomposition
Response Includes
- • Anomaly points and severity
- • Confidence scores
- • Method explanation
- • Statistical thresholds
- • Pattern analysis
- • Actionable insights
Advanced Options
- • threshold: Sensitivity level (0.5-5.0)
- • multiplier: Detection multiplier
- • seasonal_period: Auto or custom period
- • minimum_periods: Min data points (3-100)
Comprehensive Anomaly Detection for Every Use Case
From simple outlier detection to complex seasonal pattern analysis
Multiple Statistical Methods
Choose from Z-score, IQR, seasonal decomposition, or let our auto-detection pick the best method for your data.
- Automatic method selection
- Configurable thresholds
Seasonal Pattern Recognition
Automatically detect and account for weekly, monthly, and yearly patterns. Avoid false positives from expected seasonal changes.
- Weekly/monthly cycles
- Holiday adjustments
Real-time Processing
Process streaming data and detect anomalies as they happen. Perfect for monitoring systems, IoT sensors, and live metrics.
- Sub-second response time
- Streaming data support
Actionable Insights
Get detailed explanations for each anomaly, including severity levels and recommended actions to take.
- Severity scoring
- Root cause analysis
Seamless Integration with Your Monitoring Stack
Connect with your existing tools and workflows in minutes
Works with Popular Monitoring Tools
ForecastAPI integrates seamlessly with monitoring platforms, alerting systems, and data pipelines to provide unified anomaly detection.
Trusted Across Industries
From DevOps to business intelligence, teams rely on our detection
System & Infrastructure
Monitor CPU usage, memory consumption, and network traffic for early warning signs of system issues.
- • Server performance monitoring
- • Database query anomalies
- • Network latency spikes
Business Intelligence
Detect unusual patterns in sales, user behavior, and key business metrics to identify opportunities and risks.
- • Revenue anomaly detection
- • User engagement changes
- • Conversion rate drops
IoT & Sensor Data
Monitor temperature sensors, equipment vibrations, and environmental data for predictive maintenance.
- • Equipment health monitoring
- • Environmental sensor alerts
- • Predictive maintenance
Proven Results in Production
Real performance metrics from live deployments
Real-Time Analytics Dashboard
Monitor anomaly detection performance, track accuracy metrics, and analyze patterns in real-time with comprehensive dashboards.
View Live Demo →Built for Scale and Reliability
Enterprise-grade anomaly detection infrastructure
High Performance
- <2.3s response time
- 10M+ data points/day
- Real-time processing
Security & Compliance
- SOC 2 Type II certified
- GDPR compliant
- End-to-end encryption
Developer Experience
- RESTful API
- SDKs for all languages
- Webhook notifications
Start Detecting Anomalies Today
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