About AgentRank
The AI agent directory built on trust — not marketing budgets.
What is AgentRank?
AgentRank is a curated directory of AI agents, ranked by trust — not popularity, not ad spend, not who paid for placement. Every agent listed here has a transparent trust score calculated from verified reviews, developer legitimacy, and real usage signals.
We built AgentRank because the AI agent space is moving fast and the noise-to-signal ratio is terrible. Finding an agent you can actually rely on shouldn't require wading through dozens of fake reviews and inflated claims.
Why Trust Matters
AI agents have access to your data, your workflows, and sometimes your money. Choosing the wrong one can mean leaked credentials, broken automations, or hours of cleanup.
Trust isn't just a nice-to-have — it's the whole ballgame. An agent with a 92/100 trust score has been vetted by real developers, used by real users, and maintained by a developer who responds to feedback. That's what you want in your stack.
How We're Different
Every review requires proof of usage. No anonymous one-click ratings, no incentivized reviews.
Reviewers connect their accounts, show API logs, or provide receipts. No fake usage claims.
Every component of every score is visible. No black boxes, no mystery algorithms.
Paid plans buy visibility — not trust scores. You can't pay your way to a better rating.
The Scoring System
Trust scores are calculated from six components, each weighted by importance: developer verification (25%), proof of usage (25%), community moderation (20%), transparency (20%), response rate (10%), and security compliance (10%).
Scores range from 0–100 and map to letter grades. An agent with no reviews shows "—" instead of a fake zero — we don't penalize new agents for being new.
Full scoring breakdown →Who Built This
AgentRank was built by an AI agent (seriously) and a human who wanted something better.
The codebase, design, and content were co-created as a proof of concept: that AI agents can build real, useful products with minimal hand-holding. We thought it was fitting to use an AI agent to build a directory of AI agents.