Zro

Zro: High-Performance Private Inference for Coding Agents

In the rapidly evolving landscape of artificial intelligence, developers and enterprises are increasingly seeking solutions that balance performance with strict privacy. Zro, developed by moonmath.ai, emerges as a premier solution for those utilizing coding agents. As a dedicated private inference endpoint for open-weight models, Zro is engineered to provide the speed and reliability required for modern development workflows without compromising on data security.

What is Zro?

Zro is a private inference endpoint specifically optimized for coding agents. It serves as a bridge between powerful open-weight coding models and the developer's local environment. By hosting these models on EU-based infrastructure, Zro ensures that inference is both fast and compliant with rigorous privacy standards.

At its core, Zro is designed to handle the unique demands of multi-turn, long-context coding sessions. Whether you are using a CLI-based agent or an integrated IDE tool, Zro provides a unified endpoint that facilitates seamless communication with high-tier open models like MiniMax M3 and GLM-5.2. Developed by the experts at moonmath.ai, Zro represents a shift toward a more private, decentralized AI future where developers retain full control over their data.

Key Features of Zro

Zro stands out in the marketplace due to its focus on three pillars: Privacy, Performance, and Integration. Below are the core features that make Zro an essential tool for developers:

1. Uncompromising Privacy and Security

Privacy is not an afterthought with Zro; it is the foundation.

• Zero Data Retention: By default, Zro maintains a strict zero-request retention policy. Your prompt and completion bodies are processed and then immediately discarded.
• No Training on Customer Data: Zro and moonmath.ai guarantee that customer prompts and completions are never used for training, fine-tuning, evaluations, or analytics.
• EU-Based Infrastructure: To ensure data sovereignty and adhere to high privacy standards, Zro runs exclusively on EU infrastructure, with current regions including Finland and France.

2. High-Performance Technology Stack

Zro is not just a wrapper; it is a highly optimized inference engine.

• HyperQuant Compression: This advanced compression technology allows Zro to serve large models efficiently without losing the nuance required for complex coding tasks.
• Custom Attention Kernels: By utilizing custom kernels, Zro reduces latency and improves throughput for long-context workloads.
• Hardware-Aware Deployment: Zro is tuned to run on a variety of high-end hardware, including AMD, NVIDIA, and TPU, ensuring responsive, streaming inference for production-level apps.

3. Comprehensive Model Support

Zro provides access to the world’s leading open-weight coding models through a single endpoint. Current and upcoming models include:

• MiniMax M3: Available now for high-precision coding.
• GLM-5.2: A powerful open-source alternative from Z.ai.
• DeepSeek V4 Pro: Coming soon to the platform.
• Kimi K2.6: Coming soon for expanded model variety.

Use Cases for Zro

Zro is versatile enough to support a wide range of development scenarios, particularly those involving autonomous or semi-autonomous agents.

• Coding Agents and Harnesses: If you are running tools like Claude Code, OpenCode, or Hermes, Zro acts as the high-speed engine that powers their reasoning and code generation.
• Secure IDE Extensions: For developers who prefer graphical interfaces, Zro provides the back-end inference for Cursor and Cline, allowing you to keep your code private while benefiting from AI assistance.
• Long-Context Project Analysis: Because Zro is optimized for long-context workloads, it is the ideal choice for agents that need to ingest entire repositories or hold extensive multi-turn conversations to debug complex systems.
• Production-Grade Coding Apps: Teams building their own internal coding tools can leverage the Zro API to integrate private inference into their custom workflows.

How to Use Zro

Setting up Zro is designed to be a friction-less experience that takes only a few minutes. Developers can choose between using the official CLI or manual configuration for supported IDEs.

Using the @moonmath-ai/zro NPM Package

For tools that support automatic launching, the recommended path is using the npm package.

1. Installation: Install the package globally via npm:

   npm install -g @moonmath-ai/zro

2. Authentication: Log in to your account once to establish your session:

   zro login

3. Launch Your Tool: Use the zro launch command followed by your preferred agent. For example:
   • To launch Claude Code: zro launch claude --model minimax-m3
   • To launch Codex: zro launch codex --model glm-5.2

Integration with IDEs (Cursor and Cline)

For tools like Cursor and Cline, Zro provides OpenAI-compatible and Anthropic-compatible access points. You can manually point these tools to the Zro base URL and provide your API key for instant integration.

Frequently Asked Questions (FAQ)

What is Zro?

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 easy setup paths for common developer tools.

Can I use existing OpenAI-compatible clients?

Yes. Zro exposes OpenAI-compatible access for chat completions, allowing existing clients and agent tools to simply point at the Zro base URL.

Does Zro support Anthropic-compatible clients?

Yes. Zro supports Anthropic-compatible Messages requests at /v1/messages for tools that require that specific API structure.

Is the inference speed fast enough for real-time coding?

Absolutely. Zro is built specifically for responsive, streaming inference. This ensures that developer tools, agents, and production apps do not have to trade speed for privacy.

Where are the servers located?

Zro runs on privacy-forward EU infrastructure. Current operational regions include Finland and France.

How does the billing structure work?

Zro offers flexible pricing. Plans start at $20/month, which provides $60 of inference spend. Additionally, usage packs are available without a subscription; these packs expire after 90 days, while plan spend resets on a monthly basis.

Are my prompts used for training?

No. Customer prompts and completions are never used for training, fine-tuning, evaluations, or any form of dataset creation. Your data remains yours alone.