X-Agent releases white paper on AI agent execution and transactions

AI social engine infrastructure provider X-Agent has released its latest white paper, outlining its product structure, Model Context Protocol ecosystem, business model and XAGT token use cases. X-Agent is building an ecosystem that lets users create AI agents through natural language alone, with memory, skills, API access and wallet connectivity, then connect those agents to deployment, payments and monetization. Developers can offer APIs, data and specialized services as MCP functions and earn revenue through per-call fees, subscriptions and transaction commissions. According to the project, the XAGT token is used for secure execution environment computing costs, LLM and API calls, agent transaction payments and MCP service fees, with future use cases set to expand to staking, multi-agent settlement and governance. The project added that it currently has 1 million registered users, more than 1.1 million cumulative autonomous tasks and over 84 billion LLM tokens used.