Overview

Zro is a private inference endpoint for coding agents. It serves open-weight coding models on EU infrastructure and is positioned for developer tools that need responsive inference without retaining request bodies.

The product combines an API layer and a launcher layer. Developers can point compatible clients at Zro directly, or use the @moonmath-ai/zro package to launch supported tools such as Claude Code and Codex CLI with temporary session configuration. The site emphasizes zero request retention, no training on customer data, and support for long-context, multi-turn coding workflows.

Features

Private EU-based inference

Serve open-weight coding models from EU infrastructure with zero request retention and no training on customer data.

Compatibility with common agent APIs

Use the endpoint as OpenAI-compatible chat completions or Anthropic-compatible Messages requests, which lets existing tools connect without a new API shape.

CLI launcher for coding agents

Launch supported tools through the @moonmath-ai/zro npm package with session-scoped configuration, so the launcher can set up the provider and then clean up after exit.

Long-context model support

Work with long-context coding sessions using models that advertise large context windows, including MiniMax M3 and GLM-5.2.

Launcher-managed privacy controls

Route requests through Zro's own launcher setup, which disables vendor telemetry and analytics for launcher-supported tools and only sends web-search queries when search is used.

Current and upcoming model options

Choose from a small set of live models now, with additional open coding models listed as coming soon.

Use Cases

  • Run an agent against a compatible endpoint

    Point an existing OpenAI-compatible or Anthropic-compatible client at Zro when you want private inference without rewriting your agent stack.

  • Launch coding tools with session-scoped setup

    Use the launcher to start Claude Code, Codex CLI, OpenCode, Hermes, OpenClaw, Pi, or Codex App with temporary session configuration and no persistent vendor telemetry.

  • Select a model for the workload

    Choose MiniMax M3 for long-context chat-style coding sessions or GLM-5.2 for agentic coding and tool-heavy workflows, depending on the task shape.

  • Connect manually configured IDE agents

    Set up Cursor or Cline manually when you want those tools to call Zro directly through the OpenAI-compatible base URL.

  • Top up inference for short-term work

    Use usage packs when you need a one-time budget for experiments, prompt tuning, evals, or bursty agent runs without committing to a subscription.

Pros and Cons

Pros

  • Provides private inference on EU infrastructure with zero request retention.
  • Supports both OpenAI-compatible and Anthropic-compatible request shapes.
  • Offers launcher-based setup for several coding agents and apps.
  • Includes long-context models suited to multi-turn coding sessions.
  • Has usage packs available without a subscription for flexible top-ups.

Cons

  • Model choice is limited to the models currently offered on the service, with some additional options marked as coming soon.
  • Some integrations rely on manual configuration rather than a one-click native connector, especially for Cursor and Cline.
  • Pricing for heavier usage depends on plan spend, usage packs, and model mix rather than a fixed unlimited allowance.

FAQ

What is Zro used for?

Zro provides private inference for coding agents through an endpoint that supports OpenAI-compatible chat completions and Anthropic-compatible Messages requests. The integrations page also describes launch paths for supported tools through the Zro CLI launcher.

Can I use my existing client or agent with Zro?

Yes. The source says Zro exposes OpenAI-compatible access for chat completions and Anthropic-compatible Messages requests at /v1/messages, so existing clients can point to the Zro base URL where supported.

Which coding tools does Zro integrate with?

The integrations page documents launcher support for Claude Code, Codex CLI, OpenCode, Hermes, OpenClaw, Pi, and Codex App. Cursor and Cline are shown with manual OpenAI-compatible setup instructions.

Does Zro keep my prompts or completions?

Zro does not retain prompt or completion bodies by default after inference is processed, and customer prompts and completions are not used for training, fine-tuning, evaluations, analytics, or dataset creation.

Where does inference run?

Zro runs inference on privacy-forward EU infrastructure. The site names Finland and France as current regions.

Quick Facts

Category
Developer Tool
Product type
Private inference endpoint
Primary use
Coding agents and agentic coding workflows
Platform
Web service with CLI launcher and API
Supported regions
EU infrastructure; Finland and France are named
Source domain
zro.moonmath.ai