Kryex isn't your API Management layer. It's what APIM is missing.
Most enterprises already run an API Management (APIM) gateway. Kryex doesn't replace it. It covers the part of AI governance a general-purpose APIM layer was never built to do, and can sit alongside whichever one you already run.
What API Management actually is
API Management is the enterprise discipline of governing an organization's entire API surface — REST, GraphQL, SOAP, gRPC — from one control plane: authentication, rate limiting, request routing, a developer portal, centralized observability, and lifecycle management across every API the company exposes, internally or externally. Most enterprises with more than a handful of services already run one, often for years before AI entered the picture.
Why a general-purpose APIM layer isn't enough for AI
API Management platforms were built for a traffic shape that doesn't match how LLMs actually behave. They have no native concept of token-based cost, no way to meaningfully rate-limit a streaming response, no per-model routing logic, and no visibility into what a prompt or completion actually contains. This is a real, industry-recognized gap, not a Kryex opinion — API Management vendors broadly have been adding AI-specific extensions to their platforms precisely because the base product didn't originally cover AI workloads at all. The industry term for this newer, AI-specific layer is an AI gateway — a distinct category from a traditional API gateway, even when the same vendor ships both.
Model traffic vs. tool-call traffic — two different governance problems
An APIM layer (or even a bolt-on AI gateway) can inspect and rate-limit the model call — the prompt going out, the completion coming back. But it has no concept of what that model's output then goes on to DO. A completion that results in an agent running a SQL DELETE looks, to an API gateway, identical to one that results in a code comment.
Kryex governs both halves explicitly and separately: the Model Gateway covers exactly the AI-gateway problem (auth, live quota, model access, wire-format translation — see the Model Gateway guide), and the Tool Proxy covers the execution itself — classifying and authorizing the actual action an agent is about to take, before it runs.
An organization gets the traffic-shaping an AI gateway provides AND the execution-boundary enforcement no API or AI gateway on the market provides today, without standing up two unrelated systems that don't share a grant model or an audit trail.
Where Kryex actually sits in your stack
Kryex Code's own Model Gateway is the chokepoint every model call it makes runs through — authentication, live quota, model access, and wire-format translation (see the Model Gateway guide). It runs inside your own infrastructure, the same footprint your APIM layer already occupies, not a separate perimeter you have to reconcile against it. Your APIM layer keeps doing what it's good at: network-edge policy across your whole API estate. Kryex handles what sits underneath, specifically for AI: per-user model access, live quota, and — the part no APIM product covers — authorizing the tool call itself.
Stated precisely, not oversold: this describes how Kryex Code's own Model Gateway is architected, not a certified or pre-built plugin for a specific APIM vendor. Talk to the team about your exact topology before assuming a specific APIM product's policies compose cleanly with Kryex's.
MCP servers and the “MCP gateway” category
The API Management industry is independently converging on the same problem Kryex already solves for MCP: a growing share of API gateway vendors are shipping MCP-specific features, and dedicated “MCP gateway” products already exist, precisely because without one, organizations get unaudited tool access, credential sprawl, and zero visibility into agent-to-server traffic. Kryex governs every MCP server it connects to the same way — see Tool Calling & Governed Actions — with the same grant model and audit trail as every other connection type, not a separate system.