v2.4 — TimesFM + Chronos Models Live

Detect Anomalies Before They Become Incidents

AI-powered time series anomaly detection. Monitor server metrics, financial data, IoT sensors, and business KPIs. Alert via webhook, Slack, and PagerDuty.

api-gateway-01 / response_time_ms
2 anomalies detected
12:0012:1512:3012:4513:00
10B+
Data Points Processed
500+
Companies Monitoring
99.5%
Detection Accuracy
<100ms
Detection Latency

Monitor Everything That Matters

From infrastructure to business metrics, AnomalyWatch detects deviations the moment they happen.

[ CPU ]

Server Monitoring

Detect CPU spikes, memory leaks, and latency anomalies across your infrastructure before they cause outages.

[ TXN ]

Financial Fraud

Identify suspicious transaction patterns, volume anomalies, and pricing irregularities in real-time.

[ IOT ]

IoT Sensors

Monitor sensor drift, equipment degradation, and environmental anomalies across thousands of devices.

[ KPI ]

Business KPIs

Track revenue drops, conversion rate changes, and engagement anomalies to catch problems early.

terminal

$ curl -X POST https://api.anomalywatch.dev/v1/ingest \

-H "Authorization: Bearer aw_live_****" \

-d '{"metric":"cpu_usage","value":94.2,"ts":"2026-03-27T12:00:00Z"}'

{ "status": "ingested", "anomaly_score": 0.92, "severity": "critical" }

! ALERT: anomaly detected on cpu_usage — score 0.92 exceeds threshold 0.80

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