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Zro

Zro is a private inference endpoint for coding agents, offering open-weight coding models across multiple regions with zero request retention and zero training.

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Last Updated 9/9/2026

About Zro

Zro is a private inference endpoint for coding agents that serves open-weight coding models across multiple regions, with zero request retention and zero training: customer prompts and completions are never used for training, fine-tuning, evaluation, analytics, or dataset construction. The service is optimized for long-context workloads and offers OpenAI-compatible access to chat completions, so existing clients and agent tools can point their base URL at Zro directly. Developers can also integrate through the @moonmath-ai/zro npm package: run zro login once, then use zro launch to start your existing tools. Available models include GLM-5.3 Flash, GLM-5.2, DeepSeek V4 Flash 0731, and Kimi K3; per-region model availability is shown when you create an API key.

Best for

Developers using AI coding agents
Engineering teams that value the privacy of prompt and code data
Teams already using OpenAI-compatible clients and agent tools

Best use cases

Configure a private inference endpoint for coding agents

Call open-weight models on long-context coding tasks

Connect your existing toolchain with zro login and zro launch

Check per-region model availability when creating an API key

Features

OpenAI-compatible interface

OpenAI-compatible access to chat completions, so existing clients and agent tools can point their base URL at Zro directly.

Privacy-first inference

Zero request retention; customer prompts and completions are never used for training, fine-tuning, evaluation, analytics, or dataset construction.

Multi-region open-weight models

Offers GLM-5.3 Flash, GLM-5.2, DeepSeek V4 Flash 0731, and Kimi K3, with endpoints optimized for long-context workloads.

CLI access

Use the @moonmath-ai/zro npm package: run zro login once, then start the toolchain with zro launch.

Pros

  • Zero request retention; prompts and completions are never used for training or dataset construction
  • OpenAI-compatible interface; existing clients can point straight at the Zro base URL
  • Multi-region endpoints optimized for long-context workloads
  • Log in once with zro login, then start your toolchain with zro launch

Cons

  • Standalone usage packs are valid for 90 days and expire after that.

FAQ

No. The official page states that customer prompts and completions are never used for training, fine-tuning, evaluation, analytics, or dataset construction.
Yes. Zro provides OpenAI-compatible access to chat completions, so existing clients and agent tools can point their base URL at Zro.

Tool Information

DeveloperZro
Release Date9/9/2026
Pricingsubscription