RED Agent — Managed Rare Event Detection via the Agents API

The RED agent detects named, rare events from a handful of labelled examples. It is the few-shot middle path between two siblings: OSM needs a full labelled library across every regime you care about, anomaly detection needs only normal data but flags everything unusual. RED takes a small named catalog — "pump breakdown", "severe slugging" — with a few labelled examples each plus normal data, and detects those specific signatures recurring.

Algorithmically it is two modules: the Omega encoder turns windowed multivariate sensor data into embeddings, and a nearest-prototype classifier assigns each window to the closest class prototype. One prototype per class — the arithmetic mean of that class's shot embeddings — which is what makes it tolerate the severe imbalance between abundant normal data and one or two fault incidents.

The platform runs the whole graph server-side: