Every protocol, one runtime
REST, SOAP, gRPC, WebSocket, GraphQL, and AI traffic — LLM, MCP, agent-to-agent — handled by the same gateway, the same way.
Executives · Strategy
AI is just another protocol on the gateway. Apinizer runs your REST, SOAP, gRPC, WebSocket, and GraphQL alongside your LLM, MCP, and A2A traffic — with the same audit, identity, and access controls.
The problem
When the AI team needs a gateway, the org has two bad options: bolt a second platform on top of the first (and budget two of everything — identity, audit, ops), or skip the gateway entirely (and watch model traffic disappear from the books). Apinizer's unified plane gives executives a third option: one stack, every protocol, every audit, every dashboard — including AI.
platform
protocols
REST · SOAP · gRPC · GraphQL · WS · MCP · A2A · LLM …
duplicate budgets
Capabilities
REST, SOAP, gRPC, WebSocket, GraphQL, and AI traffic — LLM, MCP, agent-to-agent — handled by the same gateway, the same way.
OAuth2, OIDC, JWT, LDAP, AD, SAML — wired once, reused everywhere. AI consumers authenticate like API consumers.
Every request, every change, every grant — captured at the framework boundary. The AI plane is not an audit gap.
Multi-LLM routing, MCP server governance, A2A registry, semantic caching, prompt firewalls — without leaving the platform.
Same design, ship, version, retire flow for API and AI endpoints. Same APIops manifests. Same promotion path.
One Elasticsearch-backed analytics surface. API traffic and AI traffic on the same dashboards, joined to the same audit timeline.
Use cases
Two API gateways and a separate AI gateway POC become one platform. Identity, audit, and ops budgets reclaim two FTEs in the first year.
3 stacks → 1
Connected-car APIs and the in-vehicle assistant share the same gateway, same identity, same audit. Auditors stop asking 'what about the AI part'.
The chatbot is just another endpoint. Authentication, audit, and rate-limit policies inherited from the citizen API surface — no new compliance memo.
Underwriting model calls go through the same access control as claims data. One dashboard for both; one regulator answer for both.
Multi-LLM routing, semantic caching, and observability arrive in Apinizer. The standalone AI gateway is decommissioned; ops sleep easier.
1 vendor retired
B2B partners hit the same gateway; their integration agents register on the A2A registry. Same SLA, same audit, same identity.
Each department had its own gateway. Apinizer brings them onto one Manager with project scopes. Cost-to-serve drops; cross-department flows stop hand-rolling.
Operations agents hit MCP servers through the gateway. The audit, identity, and permission model is the one operators already trust for SCADA.
Recommended products
Multi-protocol runtime that handles every traditional API on one plane.
Open the Gateway pageAI lane on the same gateway — multi-LLM routing, MCP governance, A2A registry, prompt firewalls.
Open the AI Gateway pageOne identity surface for API consumers, AI consumers, and agent identities.
Open the Identity pageShared dashboards for API and AI traffic — joined to the same audit timeline.
Open the Analytics pageResources
How API and AI traffic share the same Manager, Workers, audit, and identity surface.
The full topology — control plane, data planes, AI lane, identity surface.
What the AI lane looks like — and why it doesn't need a separate stack.
The AI plane on the same Manager, Workers, audit, and identity surface as your APIs.
Banks, ministries, defense, telecom — teams running one platform for both API and AI.
Engineering choices that let one platform carry both protocol surfaces.
Explore more
Make the bet once
A 30-minute walkthrough — API plane, AI plane, shared identity, shared audit — on a Kubernetes of your choice.