AI Agent Rating

TB Terminal will soon introduce a comprehensive AI Agent Rating system to help users evaluate and compare different AI agents in the crypto space. Our rating framework analyzes multiple critical parameters including:

1. Technical architecture

• Which framework is used for creating the AI agent. For example AI16Z or Virtuals, or is it proprietary technology

Later we will add a rating system for the different AI agent frameworks to identify which are the best and worst. We can’t do this yet as AI agents are still in early stages.

2. Open source status

• Is the code open source, closed source, or partially open source?

3. Social media mindshare

• How much the AI agent has mindshare meaning conversation volume that a particular agent has in relation to the total conversation volume of all agents.

• How much the AI agent has mindshare compared to other AI agents at similar market cap (if token is associated)

4. Smart engagement

• Smart engagement is the sum of quotes, retweets, and replies made by high quality users & KOLs on Twitter

  • Higher smart engagement = good as it means high-quality accounts are interacting with the AI agent

5. Development activity

• Is the project actively developing?

• Does the project have at least one team member?

• Does the project have a public Github?

• If the project is open sourced and has public Github, how is the developer activity.

  • Commits

  • Pull requests

• New technical features added in the project

  • Only consider technical features that are live / implemented, not the future roadmap

6. Token price and volume if the Agent is associated with token

• Token price change past 7 days

• Token price change past 30 days

• Token volume past 7 days

• Token volume past 30 days

7. Token holders count if the Agent is associated with token

• How many holders the token has compared to agents with similar market cap

  • Higher holder count = better as the distribution of the token is more decentralized