How we score AI agents
AgentsAI is independent. We rank agents on merit — every tool, including ones built by companies we know, is scored against the same rubric. Here's exactly how it works.
The five sub-scores
Each agent is rated 0–10 on five dimensions. The overall score is the weighted average of the sub-scores below.
Capability
How powerful and complete the agent is at its core job — depth of features, model quality, and how well it handles complex, real-world tasks.
Ease of use
How quickly you can get value — setup, onboarding, UI/UX, and day-to-day ergonomics.
Value for money
What you get for the price across tiers, including the free plan and overage costs.
Reliability
Consistency, uptime, accuracy and how gracefully it handles edge cases.
Support & docs
Quality of documentation, community, and responsiveness of human support.
How the overall score is calculated
We multiply each sub-score by its weight and sum them. When a sub-score doesn't apply to a particular agent, the remaining weights are renormalized so no tool is unfairly penalized for a category that isn't relevant to it.
Staying independent
- • Rankings are determined by the rubric, not by who's paying.
- • Any affiliate links are disclosed and never affect a score.
- • Data is researched from primary sources and dated; reviews note when they were last verified.
- • Some research is AI-assisted, but scores and verdicts are human-reviewed.
Methodology version 1.0 · last updated June 2026.