8 stories
A researched map of how teams watch AI agents calling REST and general APIs in 2026: the application-layer trace platforms, the API-gateway layer where identity actually lives, and what genuine per-agent attribution requires.
Spec-driven fuzzers, traffic-recording tools, AI request assistants, and security-focused generators all claim to "generate API tests." A researched map of what each actually generates, from what source, and what it misses.
A researched map of how teams actually watch MCP traffic today: the protocol's own shift to OpenTelemetry, the observability platforms that added MCP tracing, and the gap between debugging a server and running one.
A researched map of how AI agents and the teams building them find and call APIs at scale outside of MCP: public marketplaces, unified-API platforms, and OpenAPI-driven agent tool generation, and where each one stops short of governing who gets to call what.
A researched map of the real tools behind "agent permissions": policy engines, non-human identity platforms, MCP's own OAuth flow, and cloud IAM for agents, four different layers people keep treating as one.
A researched comparison of where AI agents and developers actually find MCP servers today, the official registry, community marketplaces, integration platforms, and packaged hosting, plus where governed private serving fits.
Twelve checks that make API governance real: catalog, contracts, breaking change gates, auth, observability, and agent access, all enforced in CI.
Description coverage, schema completeness, auth clarity, and the weights behind the grade.
Showing 8 of 8 stories
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