Amazon Web Services (AWS) on the 16th announced a new integration with S&P Global. Customers will be able to use AI agents to ask complex market, financial, and energy questions and receive answers based on S&P Global data directly within the AWS environment.
S&P Global data is delivered through two new Model Context Protocol (MCP) servers integrated with Amazon Quick Suite. With this integration, S&P Global and AWS customers combine S&P Global's data with their enterprise information and AI workflows.
S&P Global Market Intelligence, through the S&P Global MCP for Kensho's large language model (LLM)-compatible API (interface), provides a range of financial data including Capital IQ financials and earnings call transcripts. S&P Global Commodity Insights, through the S&P Global AI-ready data MCP server, provides trust-based commodities and energy market news, insights, and research.
Bhavesh Dayalji, S&P Global chief AI officer (CAIO) and Kensho CEO, said, "We are pleased to partner with AWS to deliver S&P Global's data to customers through next-generation agentic AI," and noted, "Our goal is to make our trusted data accessible wherever our customers' workflows happen—whether on cloud platforms, LLMs, or AI agents."
Scott Mullin, AWS managing director for global financial services, said, "By integrating S&P Global's data into Amazon Quick Suite, financial professionals can directly leverage agentic AI and trusted market, financial, and energy intelligence within their workflows," and added, "This integration reflects the companies' shared vision of providing access to financial intelligence through advanced AI capabilities."