Private Inference for Coding Agents
Zro is a private inference endpoint for coding agents, serving open-weight models from EU infrastructure with zero data retention and no training on customer data. It integrates with tools like Claude Code and Codex, and supports long-context, multi-turn coding sessions.
Open-model inference
Private inference for coding agents.
Fast, EU-based endpoint for open-weight models. Zero data retention, zero training, and optimized for long-context workloads.
Connect your coding agentView pricing
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CodePrivate
ModelsOpen
SetupMinutes
Agent integrations
Claude Code
Codex
Cursor
Cline
Pi
OpenClaw
OpenCode
Hermes
API
AgentsCLI + IDE
InfraEU regions
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EU infrastructure
Private inference on EU infrastructure.
Zro serves coding-agent workloads from EU infrastructure with zero request retention and no training on customer data.
Location
EU regions
Retention
Zero by default
Training
Never
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Zro is tuned for long-context, multi-turn coding sessions. Under the endpoint, MoonMath applies HyperQuant compression, custom kernels, and hardware-aware deployment.
Compression
HyperQuant
Kernels
Custom attention
Hardware
AMD · NVIDIA · TPU
Performance
Built for coding‑agent workloads.
View technology→
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Coding agents
$ zro launch claude, codex, opencode, hermes, openclaw, pi$zrolaunchclaudeclaude
Install the npm package, log in once, then launch supported coding tools with temporary session config.
View integrationsCreate API key
@moonmath-ai/zro npm packageClaude Code · Codex CLI
npm install -g @moonmath-ai/zro zro login zro launch claude zro launch codexnpm install -g @moonmath-ai/zro zro login zro launch claude --model minimax-m3 zro launch codex --model glm-5.2
Supports Claude Code, Codex CLI, OpenCode, Hermes, OpenClaw, and Pi.
Coding models
MiniMax M3MiniMaxBuilt with MiniMax M3GLM-5.2Z.aiFrom Z.ai
DeepSeek V4 ProComing soon
Kimi K2.6Coming soon
Open coding models. One endpoint.
Open-source models are becoming competitive with closed-source systems for coding tasks. iZro starts with MiniMax M3 and GLM-5.2, with more open coding models coming soon.
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Details
Built for private inference.
Zro is a private inference endpoint for coding agents. It serves open-weight coding models from EU infrastructure, with zero request retention, no training on customer data, and setup paths for the tools developers already use.
Yes. Zro exposes OpenAI-compatible access for chat completions, so existing clients and agent tools can point at the Zro base URL.
Yes. Zro also supports Anthropic-compatible Messages requests at /v1/messages for tools that expect that API shape.
Use the @moonmath-ai/zro npm package for launch-supported tools: run zro login once, then launch your harness with zro launch. The integrations page also covers manual setup for Cursor and Cline.
No. Prompt and completion bodies are not retained by default after inference is processed.
Yes. Zro is built for responsive, streaming inference, so developer tools, agents, and production apps do not have to trade speed for privacy.
MiniMax M3 and GLM-5.2 are available now, with more open-model options being added across regions.
No. Customer prompts and completions are never used for training, fine-tuning, evaluations, analytics, or dataset creation.
Zro runs on privacy-forward EU infrastructure. Current regions include Finland and France.
Plans start at $20/month for $60 of inference spend. Usage packs are available without a subscription and expire after 90 days. Plan spend resets monthly.