Rare Event Detection Agent

The agent identifies specific, rare events — faults that are easy to miss in a long stream of events — using a small number of labeled examples of each fault alongside examples of normal behavior. These faults do not stop the process; they require post-process remediation or maintenance.

Use Cases

Detect known failure modes: Classifies each window as normal or one of your labeled faults, so a fault you’ve characterized is caught wherever it recurs.
Identify critical operational events: Returns each detected fault timestamped and scored, so high-stakes events surface instead of staying buried in the stream.
Monitor infrequent quality or safety issues: Catches issues for which it is too rare to build a conventional detector.
Reduce missed detections despite limited training data: Recognizes a fault by its signature, not its exact waveform, so a few labeled examples catch it across other assets.

See an Interactive Example

Try out the Rare Event Detection agent with a predefined data set using our interactive example.

Rare Event Detection: Water Pump Agent

Detects rare failures in an industrial water pump. Reads sensor channels (e.g. motor speed, bearing and lube-oil temperatures) and flags each window as normal or breakdown.

Using the Archetype AI Python Client

How to use the Archetype AI Python client to work with the Rare Event Detection agent.