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Apinizer — Unified API & AI Gateway Platform

One platform for every API request — including agents.

Apinizer is a Kubernetes-native API and AI Gateway platform. Multi-LLM routing across 17+ providers, MCP server governance, agent-to-agent auth and audit, semantic caching, prompt firewalls — under the same audit, identity, and permission model as the rest of your APIs.

  • OpenAI-compatible facade
  • MCP + A2A governance
  • Token quotas per user / model

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Trusted by 80+ banks, ministries, and defense organizations.


AI Gateway — agent traffic, governed

The same Apinizer API/AI Gateway that runs your REST APIs now governs every AI request your applications make. One audit trail. One permission model. One place to set the rules.

Capabilities

  • LLM Governance — token tracking, cost ceilings, leak prevention. Per user, per model, per window.
  • Multi-LLM Routing — 17+ providers behind one OpenAI-compatible facade. Switch models without code changes.
  • MCP + A2A — auto-generated MCP servers, agent discovery, agent-to-agent auth and audit.
  • Semantic Cache + Prompt Guards — drop token spend on repeat prompts. Block injection patterns. PII sanitization.

Supported LLM providers (17+): OpenAI · Anthropic · Amazon Bedrock · Azure OpenAI · Gemini · Vertex AI · Cohere · Mistral · Hugging Face · Llama · xAI · DashScope · Cerebras · DeepSeek · Ollama · Databricks · vLLM.


The Apinizer suite (10 modules)

  1. API Gateway — multi-protocol gateway: HTTP, SOAP, gRPC, WebSocket, GraphQL.
  2. AI Gateway — govern every LLM, MCP, and agent-to-agent request.
  3. Identity Manager — OAuth2 / OIDC / JWT / LDAP / AD / SAML.
  4. API Portal — self-service developer portal, bilingual TR + EN.
  5. Analytics Engine — real-time observability backed by Elasticsearch.
  6. API Designer — OpenAPI-first design with one-click proxy generation.
  7. API Creator — DB-2-API, Script-2-API, Mock APIs (no-code).
  8. API Integrator — drag-and-drop task flows across 15+ enterprise connectors.
  9. Cache — Hazelcast distributed cache.
  10. Monitoring — uptime, anomaly detection, alarms.

Why Apinizer for agents

  • Agent identity, governed. Agents and machine clients get OAuth2 / OIDC credentials, scoped to a Project, with per-credential token quotas and IP groups. Same Identity Manager as the rest of your APIs — no shadow credentials.

  • Prompt firewalls and PII at the edge. Semantic guards (jailbreak / injection / off-topic), per-Project redaction policies, PII sanitization on requests AND responses. Block before the LLM ever sees the prompt.

  • Multi-LLM routing without the rewrite. OpenAI-compatible facade routes across 17+ providers — switch models on cost, latency, or per-prompt classification without app changes. Token quotas, semantic caching, and audit on every call.


Industries — agents in regulated environments

  • Banking — fraud-detection agents and AI underwriting under bank-grade audit. Token quotas, PII sanitization, and prompt firewalls for every LLM call. (Trusted by Aktif Bank.)
  • Government — citizen-facing AI assistants on sovereign Kubernetes. Bilingual TR + EN prompt firewalls, no LLM data leaving the perimeter. (Trusted by BTK, GİB, Adalet Bakanlığı, Sivil Havacılık.)
  • Defense — air-gapped agents with full audit, identity federation, and zero-trust. (Trusted by Havelsan.)
  • Telecom — AI agents triaging customer support and OSS / BSS workflows. Multi-LLM routing across providers with per-team token budgets. (Trusted by Türksat, BOTAS.)
  • Insurance — claim-triage AI with PII sanitization on requests and responses. Per-broker token quotas, audit on every prompt.
  • Healthcare — clinical AI assistants over FHIR / HL7 surfaces. PHI never leaves the cluster — semantic prompt guards, audit at the persistence layer.

Platform pillars

Legacy and next-gen APIs in the same gateway

Banks running WSDL services next to gRPC, GraphQL, and AI traffic don't need a separate gateway per protocol. The same Apinizer API/AI Gateway, the same policy pipeline, the same audit aspect — across every era of API.

Multi-team independence on one platform

Apinizer's Project model lets unlimited teams run their own work side-by-side under shared infrastructure. Per-project Gateway Path, four roles (Owner / Manager / Developer / Viewer), server-side permission enforcement.

Manage dozens of environments from one console

Each Environment is a Kubernetes Namespace — isolated CPU, RAM, and network. The same proxy can run version 1.0 in PROD-EU and version 1.1 in PROD-TR at the same time. No second Manager.

Managed or remote, hybrid by design

Some environments live in the cluster Apinizer manages. Others run on your own Kubernetes — region-local, sovereign, air-gapped. Same Manager, same audit trail, same identity, same permissions.


Stack

Java 25 · Spring Boot 3.5 · Apinizer API/AI Gateway · MongoDB · Elasticsearch · Hazelcast · Quartz · Angular 19 · PrimeNG 19 · Tailwind CSS · Groovy · OAuth 2.0 / OIDC · WS-Security · GraphQL · gRPC · WSDL · Kubernetes · OpenShift · Tanzu · Rancher · EKS · AKS · GKE.


Status

Everything is 200 OK :)


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