MAG OptiAI

Operational AI

Anomaly Detection

Anomaly Detection is the Operational AI workspace for spotting abnormal patterns in operational series, with a public landing page that explains the workflow before the 14-day free trial in Pro begins.

Product overview

Anomaly Detection

Flag unusual patterns in time-series operations with a reviewable anomaly workflow inside Pro.

Teams monitoring operational metrics or event streams for unusual behavior
Analysts who need reviewable anomaly output rather than hidden model behavior

What this product does

Flag unusual patterns in time-series operations with a reviewable anomaly workflow inside Pro.

Upload time-series data for anomaly analysis
Score and review unusual patterns in one workflow
Export flagged outputs for downstream review and action

Access guidance

Launch access

Anomaly Detection starts with the standard 14-day free trial. When you need more evaluation time, use Billing in the Pro Console to request a manually reviewed 14-day beta for this product.

Workflow

How this product fits into the launch journey

See how this workflow fits into the broader MAG OptiAI journey, whether you arrive here from search, navigation, or a related solution page.

01

Load the monitored series

Bring the time-series inputs into the workspace so the anomaly review workflow can begin from real operational data.

02

Surface abnormal behavior

Run the anomaly analysis and inspect the records or time windows that stand out from the baseline pattern.

03

Route the result forward

Use the anomaly output as the trigger for deeper operational investigation or downstream alerting.

Proof

See the Anomaly Detection use case

The anomaly use-case page provides the proof-oriented companion to this landing page.