Rankings/Tokenized agents
Category · tokenized agents
Tokenized Agent Rankings
Tokenized AI agents are economic objects: they have a token, a market cap, holders, and on-chain liquidity. The methodology is economics-first — market cap is the headline number, but liquidity is weighted heavily to penalize honeypots. A $100M market cap with $5K liquidity does not rank above a $5M market cap with $500K liquidity.
16 tokenized agents tracked · 16 evidence-ranked. Includes agents whose primary category is tokenized AND agents tokenized as a secondary identity (e.g. aixbt — primary developer, secondary tokenized).
Methodology
Composite is a weighted blend of six economic and presence signals. Sub-scores are published; every weight is documented.
Evidence-ready rule
A tokenized agent is evidence-ranked when at least 3 of 6 signals are present AND at least one is an economic signal (market cap, liquidity, or holders > 0). Pure social-visibility ≠ evidence-ranked — must be backed by tradeable economic substance.
Tracked tokenized agents (16)
Current coverage. Sub-scores visible per agent — methodology shows its work.
v1.1 roadmap
Where the methodology evolves next. v1.0 proves the structure; v1.1 deepens cross-protocol and social.
- +1Cross-protocol upgrade — full name + token-address scan across bazaar_resources, erc8004_registry, agentverse_agents, a2a_agents. Same moat pattern as model_family deployment signal.
- +2Social signal proper — X follower count + Farcaster cast engagement + mention volume in agent-economy channels.
- +3Smart-contract verification — flag tokens with verified source on Basescan, contract owner activity, mint authority.