Key Takeaway
YUNWU.AI / 云雾 API is currently classified as Candidate with an initial screening score of 50/100. We evaluate it for AI coding workflows across tool compatibility, pricing transparency, model coverage, documentation, privacy disclosure and reputation signals.
Best For
Candidate pool until pricing, docs, and tool compatibility are confirmed.
Supported Tools and Models
Tools: Codex CLI, Claude Code, Cursor, Cline, OpenAI-compatible API, Anthropic-compatible API. Models: OpenAI/GPT, Claude, Gemini, DeepSeek.
Screening Signals
- Frequently mentioned in relay service lists.
- Candidate for the next manual verification batch.
Risk Notes
- Do not show in top recommendations until docs and pricing are collected.
- Needs live model and uptime tests.
Pre-Production Verification Checklist
- Run low-balance tests with Codex CLI, Claude Code, Cursor or Cline before daily use.
- Record latency, error rate, billing rules and whether failed requests are charged.
- Use fixed prompts to detect possible model substitution instead of relying on one casual answer.
- Read privacy and log-retention policies; use official APIs or self-hosted gateways for sensitive code.
Provider information changes. Before topping up, using production workloads or sending sensitive code, run small tests and read the official privacy, logging, refund and billing policies.