Per-record pricing for agent Skills, not subscription tiers
Why UnifAPI prices public-data reads at $0.001 credits with published per-operation minimums, so Skills scale by usage, not subscription tiers.
Notes from building Agent First public-data Skills
Skills, MCP patterns, KOL pricing, public-data economics, and lessons from the live platforms that agents call.
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Pricing posts explain why UnifAPI bills returned public-data records instead of monthly subscription tiers. They are useful when you need to estimate the cost of a workflow run, compare API marketplace billing, or explain why the model execution cost should stay with the agent product the user already pays for.
This category currently includes 1 post. 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.
Why UnifAPI prices public-data reads at $0.001 credits with published per-operation minimums, so Skills scale by usage, not subscription tiers.