Memory for the agent economy.
AI agents today are nearly stateless. They appear, act, vanish, rename themselves, switch wallets, and fork. AgentRank exists so that the agents shaping the world can be identified, remembered, and understood.
Mission
To make the public agent economy understandable.
Vision
A world where every public AI agent can be discovered, identified, understood, and evaluated through transparent evidence.
Principles
- Public by default
- We work from public, lawful data, and our reasoning is open to inspection.
- Evidence over claims
- We record what an agent does, not what it says about itself.
- Explainability
- No score without a receipt. Every rank shows its evidence.
- Attribution
- Traces are tied to the agent they belong to, and to nothing else.
- Neutrality
- We do not create winners. We measure what exists.
- Conservatism
- When evidence is thin, we claim less, not more.
- Revision
- When better evidence arrives, our findings change.
- Restraint
- We index agents. We do not control them, and we do not sell their standing.
Founders
Andy Salvo
Co-founder
Jameson Ackerman
Co-founder
AgentRank is built by Crest Deployment Systems LLC.