AI inference APIs and managed cloud services. Control access, understand usage and keep your infrastructure work in one developer workspace.
// A consistent API for your application const response = await fetch( "https://rdglobalrecy.com/v1/chat/completions", { method: "POST", headers: { Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json" }, body: JSON.stringify({ model: "MODEL_ID", messages: [{ role: "user", content: "Hello" }] }) } );
Build the application you need, with a console that keeps technical access and service costs understandable.
Integrate activated language models using a consistent interface. Create API keys, set their spend limits and review the token usage behind every completed request.
Bring us your workload. Review the resources, service period and support scope before accepting a compute quote in your console.
A useful API is only part of a useful service. Understand what is enabled, who has access and where your credit goes.
Explore platform controls ↗Completed API requests create service-credit charges tied to actual token usage. Failed inference releases the reservation.
Use separate keys for different applications. Revoke unused access and define monthly spend limits.
Review API activity, export credit records and track compute requests and support conversations from your workspace.
Create an account, review the live model catalog and define your first infrastructure request.