Software & SaaS ToolsAI tool / platform

AzYun

AzYun is a unified AI model API gateway: one standard protocol reaches OpenAI, Claude, Gemini and more, with load balancing, transparent pay-as-you-go billing and team workspaces.

azyun.com

Website overview

About AzYun

AzYun is a unified API gateway for teams that use more than one AI model. Instead of wiring a separate integration for each provider, developers call one standard protocol and reach OpenAI, Claude, Gemini and other models through a single key. The gateway spreads traffic across providers, retries failed calls and keeps latency down when usage spikes, so a product stays up during busy hours. Billing is transparent and pay-as-you-go: you see what each model costs and only pay for what you use, with no hidden markup buried in the invoice. Teams can share keys, set budgets and watch usage together, which makes it easier to test a new model, move a workload, or roll a feature out without rewriting the app. Start at azyun.com, connect your first model, and send a real request in minutes.

At a glance

Key features

  • One standard API protocol for OpenAI, Claude, Gemini and more
  • High-concurrency load balancing with automatic retries
  • Transparent pay-as-you-go billing, no hidden markup
  • Team workspaces, shared keys and usage budgets
  • Switch models without rewriting your integration

Practical details

What can you use this website for?

Create a key, connect OpenAI, Claude or Gemini, send requests through one protocol, monitor usage and manage team billing.

Who is it for?

Developers, indie makers, startups and product teams that build with several AI models and need one reliable gateway.

What to know

What makes it different?

It treats models as interchangeable behind one protocol, so a team can test, compare and switch providers in minutes instead of rebuilding integrations.

About this listing

Information about features, pricing and suitability is supplied by the submitter, not independently verified by Zearches. Websites are screened against submission and safety rules, but inclusion is not an endorsement.

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