Webull Securities Co., Ltd., the Japanese subsidiary of leading digital investment platform Webull Corporation (NASDAQ: BULL), headquartered in Chuo City, Tokyo, and led by CEO Kazu Kojima, today announced a major enhancement to its Model Context Protocol (MCP)-enabled data infrastructure for AI agents and large language models (LLMs). The company has added 23 new financial data API endpoints to its MCP server. The newly added endpoints cover a broad range of data categories essential for investment decision-making, including corporate fundamentals, ETF-related information, financial statements, and market screening capabilities. These new features are being integrated into the MCP server on a rolling basis and are already accessible via AI agents and automated analytical tools. Advancing Investment Analysis with AI Agents In recent years, demand has grown for investment data collection and analysis using generative AI and AI agents. With this latest expansion, AI agents connected to the Webull MCP server can now perform more sophisticated analysis and deliver richer insights—not limited to stock price data—but incorporating cross-sectional access to corporate financials, SEC filings, capital flow trends, ETF holdings, and industry comparison data. Key New Features Corporate Fundamentals Enhanced access to core company information and corporate disclosures enables AI to monitor institutional and retail investor trading behavior and corporate events in real time. Capital Flow Analysis Industry Comparison Analysis SEC Filings Access Earnings Calendar Dividend Calendar ETF-Related Data Detailed ETF data is now available, including holdings composition and sector allocation—information previously difficult to obtain. Fund Overview Net Asset Value (NAV) Data Asset Allocation Information Holdings Information Risk and Performance Metrics Distribution History Stock Split and Merger History Prospectuses and Disclosure Documents Financial Data and Earnings Analysis Comprehens