gds-scanner

What problem does it solve?

Detects advanced anomalies that escape standard scans by integrating cross-pattern discrepancy checks, geometric neighbor contamination signals, non-linear temporal trajectories, and population-segment shifts in multi-pattern spheres.

Core Features & Use Cases

• Cross-pattern discrepancy: surface entities anomalous in one pattern but normal in another.
• Trajectory anomaly: identify non-linear temporal paths with near-zero displacement that simple drift misses.
• Neighbor contamination: detect normal entities whose neighbors are anomalous, revealing diffuse risks.
• Population segment shift: detect shifts in aggregated segments (nation, region, category) across the sphere.
• Alias-aware scans: perform alias-specific anomaly checks when aliases exist to avoid missed signals.

Use cases include analyzing a sphere where several patterns overlap, identifying hidden relationships across time, space, and categories, and guiding follow-up investigations with targeted entity lists.

Quick Start

Run a cross-pattern and trajectory scan on a multi-pattern sphere to surface hidden anomalies.