Data Consistency

Inconsistent schemas across APIs create integration friction for humans and make AI agents unreliable. If core business entities don’t have single-source-of-truth definitions and schema reuse isn’t tracked, every new integration amplifies the inconsistency problem.

• Schema and data element reuse must be trackable across APIs
• Must support identification of redundant or inconsistent data models
• Core business entities should have single source of truth definitions
• Data/schema accuracy must be sufficient for AI agent consumption