eurouter.ai

When an application queries an artificial intelligence model, that request is essentially a network function call dispatched to third-party infrastructure. If your code targets standard global endpoints, you rarely control which server farm processes the payload or whether sensitive user data crosses international borders. For software teams operating under strict European regulatory frameworks like GDPR, this ambiguity creates immediate legal exposure. EUrouter resolves this by operating as an intelligent API gateway and meta-router that processes all inference traffic exclusively inside the European Union.

Developed by the Dutch entity EUrouter B.V., the platform functions as an intermediate orchestration layer. Instead of refactoring your code or setting up separate vendor contracts with regional hosting facilities, you point your existing client setup to EUrouter's single base URL. The gateway accepts the standard OpenAI API schema and dynamically routes prompts to European cloud nodes—including Scaleway, OVHcloud, Azure EU, and AWS EU—evaluating providers on the fly.

Unlike broader global routing hubs such as OpenRouter or Requesty that dispatch prompts worldwide, EUrouter is architected specifically around European infrastructure boundaries and compliance requirements. Every request evaluates routing parameters and provider health before execution:

• Automated failover and health scoring: The system scores available providers using their latency, uptime, and pricing. If a target host encounters a 408 timeout, a 429 rate limit, or a 5xx backend crash, the gateway triggers an immediate retry with an alternate provider, placing unstable nodes into a temporary cooldown of 30 to 120 seconds.
• Fine-grained routing controls: Developers can enforce custom request rules using payload parameters such as `order` to define an exact provider sequence, `only` to restrict calls to designated hosts, or `ignore` to exclude specific clusters.
• Enforced compliance directives: Requests can include `data_residency` to lock execution to specific countries (such as Germany), `eu_owned` to restrict inference strictly to EEA-headquartered providers, `max_retention_days: 0` for zero data retention, and `data_collection: "deny"` to prevent prompt logging for model training.
• Observability and streaming: Built-in support for Server-Sent Events (SSE), tool and function calling, structured JSON output, and a telemetry module called Broadcast that sends execution traces directly to tools like PostHog, Datadog, Langfuse, LangWatch, or OpenTelemetry collectors.

Through a unified dashboard, developers can test prompts in a playground, configure isolated workspaces, manage per-key rate limits, and monitor real-time latency and token expenditures across diverse model families from OpenAI, Anthropic Claude, Mistral, DeepSeek, Moonshot AI Kimi, Zhipu GLM, Google Gemma, and Cohere.