Built on Matia's unified foundation across pipelines, lineage, monitors, and BI usage, so your agent investigates in one or two calls instead of ten.
revenue_overview dashboard is all nulls since ~8am — can you figure out what broke?revenue_overview → 6 modelsstg_stripe_chargesamount → amount_centsFound it. The revenue_overview nulls trace back to stg_stripe_charges, which failed its freshness check at 8:02 AM. Last night's Stripe sync renamed amount → amount_cents, and the transform still maps the old column.
See which tables, columns, dashboards, and people depend on it before you drop it.
Ask what broke. Matia returns root cause and downstream impact in one answer.
Matia flags when your sync frequency doesn't match your transformations.
Matia traces the type mismatch upstream and proposes the CAST that fixes it.
Point Matia at a critical dashboard. It tells you which monitors to protect it.
Matia traces upstream and surfaces the failed integration or monitor behind it.
When the answer requires data, Matia calls Snowflake MCP and combines metrics with live query results.
Claude, Cursor, ChatGPT, other MCP-enabled clients, and Slack.
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