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 a 26-provider catalog, 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 100+ 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 — 26 providers, 185 models behind one OpenAI-compatible facade. Switch models without code changes; add a provider that is not in the catalog from the UI, without waiting for a release.
MCP + A2A — expose existing REST / SOAP APIs as MCP tools or pass through to external servers, tool-level access control, agent-to-agent auth and audit.
Semantic Cache + Prompt Guards — drop token spend on repeat prompts. Block injection patterns, decode encoded payloads before scanning, classify content safety on 14 AILuminate hazard categories. PII masking with reversible pseudonymization for authorized roles.
Retention profiles — keep the full record, counters and decisions without the bodies, or nothing at all. Installation default with a per-proxy override.

Supported LLM providers (26): OpenAI · Anthropic · Amazon Bedrock · Azure OpenAI · Google Vertex AI · Google AI Studio · Cohere · Mistral · DeepSeek · Groq · xAI · Together AI · Fireworks AI · Cerebras · Hugging Face · OpenRouter · Perplexity · NVIDIA NIM · DashScope · Moonshot · Zhipu · Voyage · Ollama · vLLM · OpenAI-compatible custom.

The Apinizer suite (10 modules)

API Gateway — multi-protocol gateway: HTTP, SOAP, gRPC, WebSocket, GraphQL.
AI Gateway — govern every LLM, MCP, and agent-to-agent request.
Identity Manager — OAuth2 / OIDC / JWT / LDAP / AD / SAML.
API Portal — self-service developer portal, bilingual TR + EN.
Analytics Engine — real-time observability backed by Elasticsearch.
API Designer — OpenAPI-first design with one-click proxy generation.
API Creator — DB-2-API, Script-2-API, Mock APIs (no-code).
API Integrator — drag-and-drop task flows across 15+ enterprise connectors.
Cache — Hazelcast distributed cache.
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 a 26-provider catalog — switch models on cost, latency, or your own routing rules 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 :)