Zro by MoonMath.ai
Zro by MoonMath.ai offers private, uncensored AI inference for coding agents with fast responses and zero data
The Problem
Developers using coding agents like Claude Code or custom AI-assisted workflows need to send code and prompts to an inference backend, but typical API providers retain data or may censor certain outputs. Teams working on sensitive codebases (handling billing logic, auth modules, infrastructure) want an inference layer that plugs into existing tools without exposing their code to retention policies or content filtering. Today they would have to either use standard hosted APIs with retention concerns or self-host models, both of which involve tradeoffs in privacy, setup effort, or model capability.
The Solution
Zro is a private inference platform built by MoonMath.ai specifically for coding agents. It offers an OpenAI-compatible API endpoint (zro.moonmath.ai/v1) so developers can swap in Zro with existing OpenAI client libraries in Python or JavaScript, and it integrates directly with coding agents like Claude Code via a CLI (zro login, zro launch claude). The platform advertises private and uncensored models, fast inference, and zero retention of data sent through it. The site demonstrates example agent sessions showing the models used for real engineering tasks like fixing failing tests, tracing bugs, adding timeouts, generating OpenAPI schemas, porting SDKs, and shrinking Docker images.