What does Zro do and what problem does it solve?
Zro provides a fast, private inference API service optimized for coding agents and long-context workloads. It offers a multi-region endpoint for open-weight models with zero data retention and no training on customer data. Evidence from the homepage states it is 'Private inference for coding agents' and features 'Zero data retention, zero training, and optimized for long-context workloads.'
What features and integrations does Zro offer?
Zro offers a multi-region infrastructure, zero data retention, support for long-context workloads, and an npm package for easy setup. It integrates with multiple coding agents and serves open-source models like GLM-5.2, DeepSeek V4 Flash 0731, and Kimi K3. Evidence lists 'Agent integrations' and 'Multi-region' infrastructure under 'Infra'.
Which coding models are available through Zro?
Zro serves several open coding models through its single endpoint. Available models include GLM-5.2 from Z.ai, DeepSeek V4 Flash 0731 from DeepSeek, and Kimi K3 from Moonshot AI, with Laguna 2.1 coming soon. Evidence lists these under 'Coding models'.
How does Zro handle data privacy and security?
Zro emphasizes strong data privacy by default. Its infrastructure is designed with zero request retention by default and it never trains on customer data. The homepage explicitly states 'Retention: Zero by default' and 'Training: Never'.
What underlying technology does Zro use for performance?
Under its endpoint, Zro applies specific technologies for performance, including HyperQuant compression, custom attention kernels, and hardware-aware deployment across AMD, NVIDIA, and TPU hardware. Evidence lists these under 'Performance'.
Who is Zro for?
Zro is designed for developers using coding agents and tools. The homepage lists specific agent integrations such as Claude Code, Codex, Cursor, Cline, Pi, OpenClaw, OpenCode, and Hermes. Evidence shows it is built for 'coding-agent workloads'.