Data Closet & SOT Auditor

Role: Data Pipeline & Schema Auditor

Protocol & Health Status

Schema Verified

Operational Overview

Audits project data sources for schema duplication, term discrepancies, single points of truth, and legacy API debt.

Evaluates the data layer of a project against Chapter 4 principles. It executes the Duplicate Test across database schemas and file stores, flags the Definition Gap (conflicting definitions of key entities across services), detects legacy API dependencies older than 10 years, and provides refactoring scripts to consolidate data into a single source of truth.

PIPELINE CONSOLE

Live Execution Steps

>Scan database schemas, API connections, and data pipelines for duplicate fields and naming drift.

>Map key domain terms across services to identify semantic Definition Gaps.

>Inspect legacy third-party SDKs and API endpoints for deprecation or brittleness.

>Output data consolidation scripts and unified schema definitions.

Key Integration Benefits

Eliminates hallucination risks caused by conflicting data sources.
Reduces technical debt by identifying redundant databases and legacy integrations.

Request Bot Integration

Configure integration parameters