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Data Quality Watchtower

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Prototype

Data Tool · ML

Built by eleventh.Explore the fleet · 6 systems

Data Quality Watchtower

A monitoring assistant that detects schema drift, anomalies, and suspicious dataset changes before pipelines break.

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Prototype
Data Tool
ML

A monitoring assistant that detects schema drift, anomalies, and suspicious dataset changes before pipelines break.

Problem. Data issues usually surface downstream after dashboards, models, or reports are already wrong. Why now. Data quality remains operationally important even for AI-native products.

View prototype incidentSee capabilitiesGitHub
30-day verdict history
0 runs

History builds as the nightly scan runs.

No scans recorded yet.

System status
unknown

Mode

live

Tier A workload

Last check

never

nightly drift scan

Uptime · 30d

—

scan cadence

Schema

v1

public contract

Built for
Data teams, analytics engineers, ML ops teams

Engine

Python
DuckDB
Great Expectations
Pandas
What the engine does
The capabilities running in the nightly drift scan.
  • Profile tabular datasets and schemas
  • Detect drift and row-level anomalies
  • Generate plain-language incident summaries
  • Store historical validation results
  • Compare saved profiles for schema, null-rate, outlier, and cardinality drift
  • Gate releases on dataset drift thresholds