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.

News Market Reaction

-0.71%

1 alert

-0.71% News Effect

On the day this news was published, SPGI declined 0.71%, reflecting a mild negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

MCP server integrations: 2 integrations

1 metrics

MCP server integrations 2 integrations Two new Model Context Protocol server integrations with Amazon Quick Suite

Market Reality Check

Price: $535.23 Vol: Volume 2,643,775 is 80% a...

high vol

$535.23 Last Close

Volume Volume 2,643,775 is 80% above the 20-day average of 1,469,306, indicating elevated interest ahead of this AI partnership news. high

Technical Shares at 497.56 are trading below the 200-day MA of 508.84 and about 14.07% under the 52-week high.

Peers on Argus

Key peers MCO, ICE, CME, MSCI and NDAQ all showed gains between 0.62% and 1.95%,...

Key peers MCO, ICE, CME, MSCI and NDAQ all showed gains between 0.62% and 1.95%, outpacing SPGI’s modest 0.12% move, suggesting a sector tailwind with SPGI lagging the group.

Common Catalyst Peers had company-specific news (debt tender, listing milestones), while SPGI’s headline focused on expanding AI data distribution.

Historical Context

5 past events · Latest: Dec 10 (Neutral)

Pattern 5 events

Date	Event	Sentiment	Move	Catalyst
Dec 10	Macro supply report	Neutral	+0.1%	Global supply chain volatility index highlighted ongoing spare capacity conditions.
Dec 10	AI cloud partnership	Positive	+0.1%	Multi-year Google Cloud deal to accelerate AI data distribution and workflows.
Dec 09	Energy AI outlook	Neutral	-0.3%	Energy trends report on AI-driven power demand and clean energy dynamics.
Dec 04	Mobility leadership	Neutral	-0.6%	New executives appointed ahead of the planned Mobility spin-off timeline.
Dec 01	Debt offering	Neutral	-0.8%	Pricing of $1.0B in senior notes for general corporate purposes.

Pattern Detected

Recent AI and partnership announcements have generally coincided with small positive price moves, while financing and corporate actions have seen mild negative reactions.

Recent Company History

Over the last weeks, S&P Global combined strategic financing, AI initiatives, and portfolio moves. On Dec 1, it priced $1.0 billion in senior notes, followed by mobility leadership appointments on Dec 4 as part of a planned spin-off. AI- and data-related releases, including energy market trends and a multi-year Google Cloud AI partnership on Dec 10, have produced modest share reactions, framing today’s AWS AI workflow integration within a steady multi-cloud, AI-expansion storyline.

Market Pulse Summary

This announcement expands S&P Global’s AI strategy by integrating its trusted market, financial, and...

Analysis

This announcement expands S&P Global’s AI strategy by integrating its trusted market, financial, and energy data into AWS’s Amazon Quick Suite via two MCP servers. It complements earlier AI partnerships and multi-cloud efforts, broadening access to agentic AI workflows for customers. Investors may focus on adoption, revenue contribution, and how this integration interacts with existing Google Cloud and other AI-ready data initiatives when assessing long-term strategic impact.

Key Terms

model context protocol (mcp), ai agents, llm-ready api, agentic ai, +1 more

5 terms

model context protocol (mcp) technical

"S&P Global's trusted data is now available through two new Model Context Protocol (MCP) server"

The Model Context Protocol (MCP) is a system that helps financial models understand and share information about market conditions and data. It’s like a common language that ensures different tools and models work together smoothly, making predictions and decisions more accurate and consistent.

ai agents technical

"enable customers to use AI agents to ask complex market, financial, and energy-related questions"

AI agents are computer programs designed to perform tasks or make decisions automatically, often by learning from data and adapting to new information. They act like virtual assistants or robots that can handle complex activities without human intervention, which can help businesses and individuals save time and improve efficiency. For investors, AI agents matter because they can enhance decision-making and automate processes that influence markets and financial outcomes.

llm-ready api technical

"through the S&P Global MCP for the Kensho LLM-ready API."

An LLM-ready API is a developer interface built to connect large language models to applications with predictable speed, secure access, and easy-to-use inputs and outputs. For investors, it matters because this infrastructure lets companies quickly add advanced AI features, scale them reliably, and control costs—similar to installing a specially wired outlet that lets a new high-powered appliance run safely and efficiently, unlocking potential revenue and competitive advantage.

agentic ai technical

"next generation of agentic AI experiences"

Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.

large language models technical

"whether through cloud platforms, LLMs, or AI agents"

Large language models are advanced AI systems trained on vast amounts of text to understand and generate human-like writing, like a very fast reader and writer that learns patterns in words and sentences. They matter to investors because they can change how companies operate—automating customer service, speeding analysis, cutting costs, creating new products—and they introduce risks around accuracy, security and regulation that can affect a firm’s revenue and reputation.

AI-generated analysis. Not financial advice.

• 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.

View original content to download multimedia:https://www.prnewswire.com/news-releases/sp-global-collaborates-with-aws-to-bring-trusted-data-directly-to-customer-ai-workflows-302629305.html

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.