Implementation notes from building a public-data layer for agents.

Engineering posts cover the parts of UnifAPI that need to stay boring under real agent usage: route metadata, OpenAPI generation, MCP discovery, response envelopes, pagination, error handling, and provider-specific normalization. The goal is to show how the system is designed so a model can discover an operation, call it safely, and return records that a human or downstream product can trust.

This category currently includes 4 posts. New entries are written for readers who want concrete implementation detail, clear tradeoffs, and copyable patterns for agent workflows.

Each article is written to be useful in two modes: a human can read the narrative and decide what to build next, while an agent can extract the task shape, public-data sources, constraints, and expected output. That is why category pages include the full context around the posts instead of acting as a thin archive.

If you are evaluating UnifAPI for your own stack, use these posts as implementation notes rather than announcements. They explain where public-data APIs help, where MCP changes the onboarding path, how billing maps to returned records, and how a workflow can stay inspectable after it moves from a chat thread into a product surface. They also keep the vocabulary consistent across the site, which makes the archive more useful for search crawlers, AI retrievers, and teams comparing several agent-data architectures.