armor-coverage

Monitoring Coverage and Tiers

Analyze what is being monitored, view your coverage tier, and identify gaps in your data observability.

Prerequisites

• AnomalyArmor API key configured
• Python SDK installed (pip install anomalyarmor)

When to Use

• What am I monitoring?
• What tier is my database at?
• Show monitoring gaps
• How do I improve my coverage score?
• What tables have no alerts?

Coverage Tiers

Every asset earns a coverage score (0-100) based on 6 monitoring features:

Tier	Score	What You Catch
Monitored	10-29	Schema changes that break pipelines
Protected	30-49	Pipeline failures, data disappearing
Verified	50-69	Stale data, value corruption
Intelligent	70+	AI-powered anomaly detection

Score weights: Schema Drift (25%), Freshness (25%), Metrics (20%), Alert Routing (15%), Validity (10%), Intelligence (5%).

Steps

Get Coverage Score and Tier

Use client.coverage.get(asset_id) to get score, tier, and breakdown.

Get Company-Wide Coverage

Use client.coverage.company() for company rollup with per-asset scores.

Find Coverage Gaps

Use client.coverage.gaps(asset_id) for prioritized recommendations.

Apply Recommendations

Use client.coverage.apply(asset_id) to batch-apply all recommendations.

Related Skills

• /armor:recommend - Get AI-driven recommendations for what to monitor
• /armor:monitor - Set up freshness and schema monitoring
• /armor:quality - Add metrics and validity rules