RelayRank Real AI relay testing and risk guides
Scoring System

How we judge whether an AI relay deserves attention

RelayRank does not rely on low-price claims, marketing copy, or one-off speed tests. We break availability, latency, model coverage, risk signals, and time stability into observable criteria.

Core Scoring Dimensions

Scores update with ongoing monitoring, and short-term noise is not amplified by a single result.

35%

Availability

Successful responses over continuous probes. Long-term stability matters more than short spikes.

25%

Average Latency

Response speed under comparable models and channels.

20%

Model and Scenario Coverage

Coverage across Claude Code, Codex, Gemini, and common workflows.

20%

Risk and Incident Records

Sustained outages, volatility, and disputes lower priority.

Evaluation Flow

01

Collect

Record provider status, latency, availability, and incident changes over time.

02

Normalize

Convert signals across channels, models, and scenarios into comparable values.

03

Adjust

Reduce one-off noise and surface persistent issues through time windows.

04

Present

Expose findings in rankings, reviews, and risk observation pages.

Rankings and Methods

Read rankings before reviews

The methodology explains the ranking logic, but final decisions should also consider reviews, pitfall guides, and your own small-scale tests.

View Rankings → Read Pitfall Guides →