Counts ≠ quality
But sudden zeros are a smell.
Learn · Reliability
Volume anomaly detection
Row-count collapses as an early incident signal.
The problem
A load truncates. Counts collapse. Charts still draw empty confidence.
The outcome
Use metadata row counts against baselines to catch volume shocks — planned in VectorData beside freshness.
Signal
Row counts
Baseline
Per table
Live bridge
Freshness + dbt
What you get
Pair with freshness
Quiet and empty are different lies.
Avoid noisy tables
High-churn events need careful baselines.
Honest Soon label
We don’t pretend volume ML ships today.
- ✓Soon: /vectordata/volume-anomalies
- ✓Live: freshness + dbt
- ✓Security stays metadata-only
- ✓Demo for related incidents
Try VectorData, then decide
Open workspace, or book a Data Stack Health Audit credited toward Managed.