What it does
On sanitized HDFS and BGL benchmarks it caught 99.3% and 100% of labeled anomalies, but read the filtering numbers too: under 1% of records were held back in either dataset, so the sample shows the safety, not the savings. It ships as an npm package wrapping your existing OpenTelemetry exporter, keeps uncertain and failed records eligible, and can run annotation-only.
Maker-reported (not independently measured by JevMade): Author-reported: 99.3% of anomalous HDFS and 100% of anomalous BGL records routed to analysis while filtering under 1% of total records in both datasets
- Primitives
- score, noul
- Platform
- TypeScript
- Added
- Project created
Source checked 2026-09-29 — opened the primary source directly.