Querying the Postman Context Graph with the AI Engineer
Blog post from Postman
Postman’s Context Graph is presented as a live, interconnected index of APIs, specifications, collections, workspaces, monitors, mock servers, and connected frontend and backend repositories, designed to answer organizational questions such as ownership, consumers, duplication, and implementation status. Its AI Engineer uses natural-language prompts to query relationships in the graph, helping teams identify route owners, assess downstream impact before changes, locate overlapping services, detect drift between OpenAPI specifications and code, find obsolete collections or monitors, audit API design consistency, and review authentication practices. A visual graph view complements the AI responses by allowing users to inspect relationships directly and validate unexpected findings. The approach can expose issues such as duplicate webhook logic, inactive endpoints with passing monitors, legacy API consumers, and inconsistent validation behavior, while emphasizing specific prompts, source-repository connections, recurring audits, and verification of results to improve API discovery and maintenance.
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