Quick Keypoints
- Drop-in replacement for OpenAI API compatible endpoints.
- Zero request retention and EU-based hosting ensures strict data privacy.
- Fully optimized for coding agents like Claude Code, Cursor, and Cline.
- Fast inference speeds powered by proprietary HyperQuant compressions.
What is Zro?
A privacy-first drop-in AI inference endpoint for coding agents.
Zro is a private, privacy-first AI inference endpoint built by MoonMath.ai. It provides developers and enterprises with zero-retention API endpoints for open-weight models optimized for coding, such as MiniMax M3 and GLM-5.2, serving as a secure drop-in backend for Cursor, Cline, and Claude Code.
Who Needs Zro?
Developers, security teams, and enterprises wanting to use advanced AI coding agents without exposing their proprietary source code to model training.
Primary Use Cases
- Autocompleting code syntax and logic blocks in real-time.
- Explaining complex functions and debugging codebase errors.
- Generating boilerplate code and unit test suites automatically.
Important Features
- Zero Retention: Default policy guarantees that request data is not stored, reviewed, or used for model training.
- IDE Integration: Instantly connects to major editors by updating the base URL and API key.
- Optimized Kernels: Employs custom attention kernels and compression to maximize tokens-per-second output.
Current Updates About Zro
- Launched in July 2026 with HyperQuant compression and attention kernels, supporting Claude Code, Cursor, Cline integrations, and GLM-5.2/Kimi K3 models.
- Current Version: v1.0
Alternatives to Zro
If you want to check similar software, these alternative tools offer comparative features:
Pricing Plans
| Plan | Price |
|---|---|
| Pro PlanIncludes $60 of inference spend, zero data retention, and access to MiniMax M3 and Kimi K3. | $20/mo |
| Max PlanHigher limits for enterprise workloads, priority inference lanes, and custom model deployments. | Custom |
Editorial Verification
Independent Testing
This review was audited under our 5-Pillar Testing Framework: Output Quality, UI/UX Ease, Pricing Transparency, Feature Depth, and Support.
Read Our Review Methodology →Explore Related Coding Assistants Tools
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