AI-Ready API covers the API lifecycle end to end, from design to a governed gateway and portal, with every API catalogued for people, applications and agents.
The spec sits in a repository, so finding the right API starts with asking a person which team owns it.
Every API is published in the API Portal from its own OpenAPI specification, and catalogued with its owner and its version.
Field names and a spec that drifted from the implementation, with the meaning left in someone's head.
The Portal serves the same specification the gateway enforces, and Context Catalog carries the meaning and the relationships around it.
Authentication built around user sessions, or a service key handed out to whoever asks for it.
RBAC and policy evaluation at the gateway, per route, before the request reaches the service behind it.
The logs show which route was called, not who was behind it, so an incident gets reconstructed by asking around.
Traffic goes through one gateway instead of a wrapper per team, so consumption is measured at a single point rather than assumed.
The tempting shortcut is to wrap one API in a quick MCP server so the agent can reach it today. It works, so the next team does the same, and the one after that. Within a quarter there are a dozen wrappers, each with its own spec, its own credentials and no shared observability. It is the same AI Spaghetti the platform exists to prevent, one layer further out.
Define endpoints, routes and listeners from the Console, on top of the services, CRUD collections and data products you already run, instead of hand-writing gateway configuration.
RBAC and policy enforcement apply at the gateway, per route, before the request reaches the service behind it.
The API Gateway serves the traffic, and the API Portal publishes every endpoint from its OpenAPI specification, browsable by category, tag and method, and testable in place.
Every API becomes an item in Context Catalog, with an owner, a version, typed relationships to the services and data behind it, and the rules it has to satisfy.
Every call is attributable, so API consumption is a measured flow rather than an assumption, whether the consumer is an application or an agent.
Define endpoints, routes and listeners from the Console over existing services, CRUD collections and data products.
Envoy or NGINX, with routing, rate limiting, headers, filters and protocol support including gRPC, WebSockets and UDP.
Every endpoint published from its OpenAPI 2.0, 3.0 or 3.1 specification, filterable by category, tag and method, searchable, and testable in place.
RBAC and policy evaluation at the gateway, per route, before the request reaches the service.
Every API registered as a governed item in Context Catalog, with owner, version, relationships and the rules it has to satisfy.
Pilot to Production
What usually stalls a pilot is reaching the core systems. AI-Ready API is the layer that makes that access governed and reusable, so the next initiative inherits it instead of building a bespoke integration again.
ExploreRun the AI-Native SDLC
Agents reach internal services one way, not one way per team. The same catalogued APIs, the same identity and the same audit trail at every stage of delivery.
ExploreThe API Gateway and API Portal described on this page are not new: they run in production today at large enterprises across six industries.
What is new is the consumer, and what it takes to let an agent call those same APIs safely.
AI-Ready API covers the API lifecycle end to end. You design endpoints and expose them through the API Gateway, publish each one in the API Portal from its own OpenAPI specification, and enforce access policies on every call. Each API is catalogued with its owner and version, so people, applications and agents call the same governed endpoint.
AI-Ready API designs, exposes and protects the interface; the rest of the platform supplies the meaning, the infrastructure and the consumers. Here's what it plugs into, module by module.
Context Catalog
Holds every API it exposes as a governed item, with owner, version and meaning attached.
ExploreAI Foundry
Runs the MCP Gateway agents call through; the APIs behind those tools are its own.
ExploreFlow
Builds against the endpoints it publishes, instead of an invented contract.
ExploreConsole
Designs, deploys and operates its gateway and routes, on the same golden paths.
ExploreFast Data
Serves its Single Views through the same gateway and the same portal.
Explore