How AI Agents Discover and Integrate Public APIs
Blog post from Postman
Orbit by Postman is presented as a tool for discovering and integrating APIs based on plain-language tasks rather than provider names, returning callable endpoints, capability evaluations, and integration guidance through search and integrate functions or an MCP connection for AI agents. In a healthcare scheduling example, the author uses Orbit to find Nylas endpoints for checking clinician calendar availability, creating appointment events, and emailing patients after bookings, then receives a taskBrief covering fit, authentication, base URL, request steps, response details, and implementation cautions. The brief highlights operational details such as epoch-second timestamps, nullable calendar fields, pagination for conflict checks, separate mutations, and idempotency keys for safe email retries, reducing reliance on documentation searches and trial-and-error failures. The resulting implementation places calendar synchronization in a separate Kafka consumer so external API outages do not interrupt appointment booking, while the author advises using specific outcome-oriented search terms, reviewing endpoint evaluation notes for unsupported functionality, and consulting integration gotchas before writing client code.
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