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Ramón Cortez
Ramón Cortez

Posted on • Originally published at ramoncortez.substack.com

How We Solved API Schema Drift Using a 4-Node Multi-Agent Fleet

Rather than relying on brittle error handlers or manual log digging, we built an automated, self-healing Enterprise API Drift Workforce on Relevance AI.

The 4-Node Multi-Agent Architecture: The workforce operates as a coordinated fleet where each agent handles a specific phase of detection, audit, repair, and governance: Supervisor Router evaluates incoming API payloads and telemetry, determines governance routing, and delegates tasks across the fleet.

Worker #1 — Schema & Drift Auditor compares incoming raw JSON against the system’s canonical schema, detecting missing key-value pairs, type mismatches, and structural changes. It outputs a structured Delta Report detailing the exact drift.

Worker #2 — Payload Fixer & Mapper reads the Delta Report, dynamically casts data types, applies fallback values, and remediates structural errors to generate a compliant, production-ready payload.

Worker #3 — Doc & Change Log Publisher: Publishes audit-ready change logs and summary documentation, ensuring compliance and providing engineering teams with full visibility into automated repairs.

Deploying to Production: You can inspect the technical repository and deployment documentation on GitHub, or clone the workforce directly into your Relevance AI workspace:

GitHub Architecture & Documentation: View Repository

Instant Workforce Template: Deploy via Payhip ($999 USD)

Need Enterprise Customization? If your organization requires direct webhook integration, custom schema mapping, or white-glove setup into existing infrastructure, we offer a $2,500 Turn-Key Deployment Package. Contact us via your Payhip receipt or by messaging us directly through the storefront.

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