Automated Quality Monitors

Key Capabilities

Freshness Verification

Verifies that your marketing datastreams are up to date and alerts when data stalls.

Null & Structure Checks

Scans for missing columns or unexpected null fields that would break agent SQL reasoning.

Pre-Query Gate

Ensures the AI agent consults definitions and checks data health scores before running queries.

In-depth Overview

A successful API connection that lands incomplete or outdated data is not a successful analytical result. If your Meta Ads data is missing or stale, any ROAS calculations by your AI will be wrong. Toorow prevents this by introducing governance monitors directly in the loop.

Continuous Quality Verification

Our four automated monitors analyze volume, freshness, structure, and presence of null values continuously. Data health scores are logged into the platform database, making them directly queryable by the agent via MCP. If a quality test fails, the agent is alerted and warns the user instead of presenting false metrics.