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Report badges display data quality status directly in your existing tools. Instead of switching to AnomalyArmor to check if data is fresh, see a green or red badge right in your dashboard.

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The Problem Badges Solve

Data teams context-switch constantly. Checking data quality in a separate tool breaks focus:
Without badges: 6-step workflow. With badges: See status instantly.
Badges provide always-on visibility wherever you work.

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What Badges Monitor

A single badge can track multiple quality signals:
CheckWhat It Catches
Schema DriftColumn additions, removals, type changes
FreshnessData not updated within SLA
MetricsAnomalies in row counts, null percentages
Configure badges to monitor any combination of these checks.

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Where Badges Work

Any tool that supports image embeds:
  • Databricks - Markdown cells in notebooks
  • Notion / Confluence - Wiki pages and documentation
  • Looker / Tableau - Dashboard annotations
  • GitHub - README files and PR descriptions
  • Slack - Pinned messages in data channels

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Badge States

Badge states: Passing (green), Issues (red), Unknown (grey)
BadgeMeaning
Passing (green)All monitored tables pass quality checks
Issues (red)One or more problems detected
Unknown (grey)Badge disabled or configuration error

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Next Steps

Create Your First Badge

Step-by-step setup guide

Freshness Monitoring

Understand what badges monitor