What it is
Analytics and decision-support surfaces built on transparent ranking features and real repository metrics.
Architecture
Feature extraction, weighted scoring, explanation objects, and search indexes. Dashboard numbers come from live counts, never invented KPIs.
Capabilities
- Explainable ranking components
- Search quality surfaces
- Operator metrics from real data
- Result explanation payloads
Security
No fabricated uptime or customer counts. Analytics remain privacy-conscious.
Research focus
Where does explanation fidelity start to cost more than it helps ranking quality?