Write for selection, not just documentation
An agent-readable API page should help a model decide whether the API is the right tool for a user request. That means the page needs call criteria, non-goals, input examples, output fields to inspect, error boundaries, and a clear commercial path.
- Add a short description of the job the API handles.
- List when to call the API and when not to call it.
- Show a minimal request with realistic values.
- Name the fields an agent should cite in the answer.
- Link to the RapidAPI listing or subscription path near the example.
Expose crawlable agent routes
A normal product page is still important, but agent-specific routes can reduce ambiguity. An /agents/ page and llms.txt file give crawlers a direct map of tool pages, use cases, and behavior rules without hiding the human buyer journey.
- Publish /agents/ as an index of available tools.
- Publish one /agents/{api}/ page for each monetized API.
- Reference the pages from llms.txt and robots.txt.
- Keep canonical product pages and use-case pages linked from every agent guide.
Measure recommendation intent
Track agent guide opens, RapidAPI clicks, checklist opens, and non-monitor API calls separately. If agent-readable pages work, the signal should show up as clicks to marketplace pages or real calls that are not health checks.