Why UnifAPI exists and how the product framing evolved.

Launch notes capture the product reasoning behind UnifAPI: agents need public evidence, raw vendor integrations are noisy, and Skills give non-developer operators a task-first way to use live public data. Read these posts for the positioning story before going deeper into comparisons or implementation cookbooks.

This category currently includes 2 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.