RelayRank Real AI relay testing and risk guides
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Relay ranking methodology: how RelayRank sorts providers

RelayRank combines availability, latency, current status, and traceable monitoring samples. This article is generated from RelayRank monitoring sample...

RelayRank combines availability, latency, current status, and traceable monitoring samples.

This article is generated from RelayRank monitoring samples and common relay selection questions to provide a practical decision framework.

What to watch

Current monitored examples include YunDou, infai, toproutercn, lingxicode, SudoCode, Aiide. YunDou shows 100% availability and 1999 ms average latency.

Do not judge a relay by one metric. Availability, latency, status changes, model coverage, billing rules, and transparency should be read together.

Practical advice

Use rankings for screening, then retest with your own models, tasks, and billing path.

Before long-term use, run small real-task tests and keep at least one backup endpoint.

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