aiPump categorizes the AI Agent ecosystem into distinct segments to better understand their functionality, users, technology, and monetization models.

​
By Functionality

  • Social Media Interaction: Agents designed to engage on platforms like X (formerly Twitter).
  • Financial Operations: Agents that execute tasks in DeFi or manage financial portfolios.
  • Entertainment and Streaming: AI characters that continuously create or interact with content.
  • Educational Tools: Agents that teach or inform about crypto, blockchain, or other topics.

​
By User Type

  • B2B Services: For projects looking to enhance their digital presence or functionality.
  • B2C Products: Enabling individual creators or small teams to launch unique AI-driven tokens.

​
By Technology

  • NLP Agents (Natural Language Processing): For conversational and text-based interactions.
  • Visual AI Agents: For content creation or visual engagement.
  • Hybrid Agents: Combining multiple AI technologies for comprehensive functionalities.

​
By Monetization

  • Direct Revenue: Through services provided by AI Agents.
  • Token Appreciation: The value of the AI Agent’s associated token increases with its popularity or utility.
  • Co-Ownership Models: Allowing community members to own parts of the AI Agent, sharing in its revenue or growth.