X-Agent white paper lays out push from AI content generation to execution and trading
X-Agent, an onchain operating system for AI agents, released a new white paper on Sept. 21 outlining its product architecture, MCP ecosystem, business model, and the planned use cases for $XAGT. The document says the next phase of AI is not limited to generating text, images, or code. Instead, it focuses on enabling agents to understand user intent, call tools, execute tasks, and complete transactions. The project said users can create AI agents through natural language prompts without writing code. Those agents are designed to support context, memory, skills, API access, and wallet connectivity. X-Agent also described a commercial framework that links agent creation, MCP capability integration, distribution, payments, and monetization. Developers, according to the white paper, can package APIs, data, and professional services as MCP capabilities and earn revenue through per-call fees, subscriptions, or trading commissions. X-Agent said $XAGT is planned for secure runtime computing costs, LLM and API calls, agent trade settlement, MCP service payments, Premium Agent template purchases, and developer deployment. The project also disclosed that it has more than 1 million registered users, has completed more than 1.1 million autonomous tasks, and has consumed more than 84 billion LLM tokens.


