About APIArc

The model layer should be open, not tangled.

APIArc gives developers one dependable interface to the models they actually want to use—without locking an application to one provider.

A request through APIArc
Your application
One OpenAI-compatible request
APIArc
Route the request
Match model, health, and capacity
Official provider
Stream the model response back
APIArc records operational metadata such as model, token count, latency, and cost—not the prompt or model output.
Why we exist

More models should mean more leverage.

AI capability is improving quickly, but access is fragmenting just as fast. Every provider brings a different API, account, quota, billing model, and failure mode.

APIArc absorbs that operational work. Teams keep a stable integration while choosing models on capability, latency, and price—not on which SDK they happened to install first.

How we build

Four operating principles.

  1. 01

    One integration, real choice

    Keep one endpoint and API key while choosing the model that fits each workload. Switching providers should be a model change, not a rewrite.

  2. 02

    Official routes only

    Requests travel through official provider channels. No gray-market relays, shared consumer accounts, or mystery capacity behind the endpoint.

  3. 03

    Content should keep moving

    The standard gateway processes prompts and outputs in transit without persisting them after the request completes or using them for training.

  4. 04

    Reliability is a routing problem

    Health-aware routing, streaming, and provider failover turn a fragmented model ecosystem into infrastructure a production team can depend on.

Build without provider lock-in

Pick the model. Keep the integration.

Explore the catalog or create an API key and send your first request.