About Gatewayz

    The inference layer for the agentic economy.

    One key and one neutral endpoint for every agent you run — OpenAI-compatible, with native Anthropic Messages.

    Why this layer matters now

    Every action an agent takes is an inference call, and agents make them by the thousand, unattended. A person who hits a confusing error works around it. An agent does what its SDK tells it to, which is usually to retry. When a gateway returns a retryable error for a problem retrying can't fix, the agent burns through its budget.

    So the layer those calls run on has to fail in ways software can act on, enforce limits that stop cleanly, and never quietly substitute a model. That's what Gatewayz is built to do.

    What we believe

    Neutral by construction

    We don't sell a model of our own, so we have no reason to steer you toward one. An undated alias resolves to its exact snapshot; an unknown model id gets a 400. We never swap in a different model and bill you for it.

    Built for callers with no human in the loop

    An agent reads the status code, not the message. Every terminal failure returns a terminal status with a machine-readable code, and a stream that fails upstream ends with an explicit error event instead of stopping silently.

    Measured, not claimed

    We publish what we've measured and nothing we haven't. The model count on this site is read from the live catalog, and there are no latency or uptime figures here until there's data behind them.

    Where Gatewayz sits

    Below the agent stack, not inside one. Coding agents, agent frameworks and autonomous organizations call Gatewayz; Gatewayz routes each request to the provider serving the model asked for. Today that's models from OpenAI, Anthropic, xAI, Moonshot and Meta — the live catalog is the authoritative list.

    FlashyOS ships Gatewayz as the default inference provider in its agent CLI.

    Company

    Gatewayz is operated by Augmented Intelligence Humans Inc.

    Press, partnerships or investment enquiries: contact us.