S&P Global Collaborates with AWS to Bring Trusted Data Directly to Customer AI Workflows

Rhea-AI Summary

S&P Global (NYSE: SPGI) announced on Dec 1, 2025 new integrations with Amazon Web Services to expose S&P Global data inside Amazon Quick Suite via two Model Context Protocol (MCP) server integrations. The move makes Market Intelligence datasets (including Capital IQ Financials and earnings call transcripts) and S&P Global Energy content available to AI agents and LLM-ready APIs such as Kensho.

The integration lets customers combine S&P Global data with enterprise information inside AWS environments to power agentic AI workflows, deliver real-time insights, and support AI-driven decision-making across financial and energy use cases.

Insights

Technology Partnerships Analyst

S&P Global and AWS integration brings trusted S&P data into agentic AI workflows, increasing enterprise accessibility.

The integration links S&P Global MCP servers with Amazon Quick Suite, letting AI agents query market, financial, and energy datasets inside AWS environments. It explicitly exposes Capital IQ Financials, earnings call transcripts, commodity and energy market news, and Kensho LLM-ready API access, enabling turnkey data inputs for model-context and agentic workflows.

Key dependencies include customers' adoption of agentic AI and secure cloud deployments, and successful technical validation in production. Watch for enterprise uptake, partner-led integrations, and any announced reference customers over the next 6–18 months from Dec. 1, 2025.

Financial Data Product Strategist

This partnership extends distribution channels and embeds S&P Global content into cloud-native AI tooling, supporting product monetization.

The deal positions S&P Global content as an input to AI-driven workflows, which can increase usage-based consumption and value-per-customer for datasets like Capital IQ and S&P Global Energy. Embedding trusted data at the model-context level reduces friction for customers who need verified inputs rather than raw web outputs.

Risks include contractual terms, pricing, and technical integration limits that will determine revenue impact. Monitor commercial packaging, usage metrics, and any developer SDKs or pricing announcements in the next two quarters for measurable commercial signals.

• New Model Context Protocol (MCP) Server integrations with Amazon Quick Suite enable seamless access to S&P Global data
• Partnership expands the reach of S&P Global's trusted market, financial and energy intelligence across the AI ecosystem

NEW YORK, Dec. 1, 2025 /PRNewswire/ -- S&P Global (NYSE: SPGI) today announced new integrations with Amazon Web Services (AWS) to enable customers to use AI agents to ask complex market, financial, and energy-related questions and receive reliable answers from S&P Global directly within their AWS environments. S&P Global's trusted data is now available through two new Model Context Protocol (MCP) server integrations with Amazon Quick Suite.

Through these integrations, customers of S&P Global and AWS can now combine S&P Global's data with their own enterprise information and AI workflows, unlocking real-time insights and transforming decision-making through S&P Global MCP servers in Amazon Quick Suite. S&P Global Market Intelligence provides a range of financial datasets, including Capital IQ Financials and earnings call transcripts, through the S&P Global MCP for the Kensho LLM-ready API. S&P Global Energy's trusted commodity and energy market news, insights and research are delivered via the S&P Global AI Ready Data MCP Server.

"We are excited to collaborate with AWS to bring S&P Global's data to customers through the next generation of agentic AI experiences," said Bhavesh Dayalji, Chief AI Officer of S&P Global and CEO of Kensho. "Our goal is to ensure customers can access our trusted data wherever their workflows take place, whether through cloud platforms, LLMs, or AI agents, enabling greater flexibility and innovation across industries."

"Bringing S&P Global's data to Amazon Quick Suite enables financial professionals to harness the power of agentic AI and trusted market, financial, and energy intelligence directly in their workflows," said Scott Mullins, Managing Director of Worldwide Financial Services at AWS. "This integration reflects our shared vision to deliver access to financial intelligence through advanced AI capabilities, together with the security, resiliency, and reliability required when working with mission-critical data and AI-driven insights."

These integrations expand the reach of S&P Global across the growing ecosystem of generative and agentic AI solutions and underscore S&P Global's ongoing commitment to meeting customers wherever they work. S&P Global's solutions and integrations create value for customers across the full spectrum of GenAI needs, from boosting the performance of large language models with S&P Global's trusted data to enabling more efficient workflows across applications.

Media Contacts:

Orla O'Brien
S&P Global
+1 857-407-8559
orla.obrien@spglobal.com

Madeline McSherry
Kensho
madeline.mcsherry@spglobal.com

About S&P Global

S&P Global (NYSE: SPGI) enables businesses, governments, and individuals with trusted data, expertise and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape.

From helping our customers assess new investments across the capital and commodities markets to guiding them through the energy expansion, acceleration of artificial intelligence, and evolution of public and private markets, we enable the world's leading organizations to unlock opportunities, solve challenges, and plan for tomorrow – today. Learn more at www.spglobal.com.

Learn more about Artificial Intelligence at S&P Global: https://www.spglobal.com/en/research-insights/market-insights/artificial-intelligence

About Kensho

Kensho is S&P Global's hub for AI innovation and transformation. Acquired in 2018, our vision is to help S&P Global leverage cutting-edge tech to become the world's most trusted and innovative data, benchmarks, and ratings company. Kensho develops powerful AI capabilities that underlie S&P Global offerings, enable innovation across the enterprise, and add value for customers. The Kensho LLM-ready API seamlessly integrates a set of complex, high-priority S&P Global datasets into Generative AI models, enabling customers to accurately and effectively retrieve a set of S&P Global's trusted data via any GenAI application.

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SOURCE S&P Global

FAQ

What did S&P Global (SPGI) announce on December 1, 2025 about AWS?

S&P Global announced two Model Context Protocol (MCP) server integrations with Amazon Quick Suite to make its market, financial, and energy data available inside AWS.

Which S&P Global datasets are available to AWS customers through the MCP integrations?

S&P Global Market Intelligence delivers Capital IQ Financials and earnings call transcripts, while S&P Global Energy provides commodity and energy market news, insights, and research.

How will the SPGI and AWS integration affect investor workflows?

The integration allows investors to combine S&P Global data with enterprise information in AWS to power AI agents and LLMs for faster, data‑driven decision-making.

Which API or product is mentioned for LLM-ready access to SPGI data?

The Kensho LLM-ready API is mentioned as a route for accessing S&P Global Market Intelligence via the MCP server.

Does the announcement state any financial terms or revenue guidance for SPGI related to the AWS deal?

No financial terms, revenue figures, or guidance were disclosed in the announcement.

When did S&P Global and AWS announce the Quick Suite MCP integrations?

The companies announced the integrations on December 1, 2025.