🧪 Demo Mode — Running on mock data · View source on GitHub

Data Insights

Statistical discoveries, anomalous trends, concentration spikes, and data quality patterns automatically generated after pipeline executions.

Total Insights
—
Across all active tables
Critical Alerts
—
Require immediate attention
Top Pattern Area
—
Most frequent insight type
Data Quality Score
—
Weighted batch health score

Distribution

About Insight Engine

Every time a transformation executes successfully, Conduit profiles the loaded rows. The engine automatically detects mathematical anomalies, regional concentrations, and temporal spikes, packaging the stats for the AI to summarize into business terms.