STOCK TITAN

S&P Global Launches Adaptive Retrieval, Giving Customers a New Way to Access Data Across AI and Agentic Workflows

(Neutral)
(Positive)
Tags
AI

S&P Global (NYSE: SPGI) launched Adaptive Retrieval, a new service that lets customer AI agents and large language models access and assemble licensed S&P Global data using natural language queries. Adaptive Retrieval is offered alongside the existing Deterministic Retrieval within the unified S&P Global AI Data Portal.

Adaptive Retrieval enables complex, multi-step use cases by pulling from multiple datasets at once, while Deterministic Retrieval, built on the Kensho LLM-ready API, supports structured, API-based queries for focused tasks such as company research and earnings call transcript analysis. The launch aligns with S&P Global Market Intelligence’s new operating model and Kensho Data Platforms’ role in delivering AI-native user experiences.

Loading...
Loading translation...

Positive

  • None.

Negative

  • None.

News Market Reaction – SPGI

-3.81%
2 alerts
-3.81% Session close to close
$133.45B Market Cap
0.0x Rel. Volume

In the Jul 21 session, SPGI declined 3.81%, reflecting a moderate negative market reaction. Our momentum scanner triggered 2 alerts that day, indicating moderate trading interest and price volatility.

Data tracked by StockTitan Argus on the day of publication.

Market Context

Insider activity showed Net Buying, totaling 5,974 shares bought and zero sold over 90 days. That ow...
Analysis

Insider activity showed Net Buying, totaling 5,974 shares bought and zero sold over 90 days. That ownership context accompanies the AI service launch, while low short positioning and the absence of quantified revenue contribution remain relevant constraints.

Key Figures

Retrieval methods: 2 complementary methods Deterministic Retrieval availability: Since 2025
2 metrics
Retrieval methods 2 complementary methods S&P Global AI Data Portal
Deterministic Retrieval availability Since 2025 Existing service for API-driven data access

Previous AI Reports

5 past events · Latest: Jun 08 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Jun 08 AI ecosystem collaboration Positive -1.5% Cohere collaboration extended S&P Global data into secure enterprise agentic workflows.
Jun 04 AI credit tool launch Positive +1.9% Agentic credit memo platform streamlined data gathering and supported analyst-ready credit outputs.
May 13 AI energy integration Positive -4.2% Energy intelligence was integrated into Capital IQ Pro with AI-powered access.
May 12 AI agent suite launch Positive +0.8% Four AI agents delivered energy and sustainability intelligence for enterprise users.
Mar 20 AI energy outlook Neutral -0.4% Energy outlook assessed how AI demand and geopolitics were reshaping markets.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged events produced mixed historical reactions, with an average move of -0.68% across five events.

Key Terms

large language models
1 terms
large language models technical
"customer AI agents and large language models (LLMs) to access"
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. How Rhea-AI works. Not financial advice.

See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google
Add on Google
  • With this launch, S&P Global becomes the first to offer customers two complementary ways to retrieve data, Deterministic and Adaptive, giving AI systems reliable access to trusted S&P Global data across a full spectrum of workflows, from tightly controlled pipelines to autonomous, multi-agent systems.
  • Both retrieval methods will be offered together as part of a single solution called the S&P Global AI Data Portal. 

NEW YORK, July 21, 2026 /PRNewswire/ -- S&P Global (NYSE: SPGI) today announced the launch of Adaptive Retrieval, a new service that allows customer AI agents and large language models (LLMs) to access and assemble licensed S&P Global data using natural language queries. Alongside the existing Deterministic Retrieval, both methods are now available through the S&P Global AI Data Portal, giving customers flexible and accurate access to S&P Global data across a full spectrum of AI or agentic workflows. 

S&P Global logo

Adaptive Retrieval lets AI agents and LLMs pull data from many different sources at once and automatically handle requests that involve multiple datasets. This makes it well suited for complex, multi-step tasks, including in-depth research and report generation. Deterministic Retrieval, built on the Kensho LLM-ready API, which has been available to customers since 2025, gives AI systems API-driven access to S&P Global data through direct, structured queries. This method is ideal for focused tasks including researching a specific company or analyzing earnings call transcripts. Customers can use one method or both, depending on how their systems are set up and what they need to accomplish. 

"The use of AI in financial services is rapidly accelerating and evolving, from tightly controlled workflows to fully autonomous, multi-agent systems," said Sally Moore, Chief Client Officer and Co-Head of Market Intelligence. "With Deterministic and Adaptive Retrieval now available together, we're ensuring that S&P Global's trusted data is accessible across that full range of workflows, so customers can access data the way they need it today and adapt as their architectures evolve." 

As organizations move from human-driven processes to AI-driven workflows where AI agents carry out tasks independently, the requirements for enterprise data have fundamentally changed. AI agents and LLMs need data that is properly cited, verifiable, and auditable. Historically, connecting high-quality data reliably into AI systems required significant engineering work: finding and validating sources, and building the logic to retrieve them accurately, which demands deep domain expertise. With Adaptive and Deterministic Retrieval, available through the S&P Global AI Data Portal, that complexity is eliminated. S&P Global's unmatched breadth and depth of data is already cited, structured, and ready for AI systems to use, so customers can focus on building products and generating insights rather than preparing and managing data. 

This launch follows S&P Global's recently announced evolution of its Market Intelligence operating model, which brings together data, AI, software, and workflow capabilities to better support how customers discover and consume intelligence. It reflects the role of Market Intelligence's newly formed Kensho Data Platforms vertical in delivering world-class client interfaces, including Capital IQ Pro, to create more AI-native user experiences and make proprietary intelligence easier to access, connect, and act on. 

"For S&P Global, the data retrieval layer is only the beginning. Cited, verifiable S&P Global data provides the trusted foundation on which higher-value AI-native experiences can be built," said Bhavesh Dayalji, Head of Kensho Data & Intelligence. "Now, S&P Global data flows directly into the tools and platforms where customers work through financial skills and plugins, and MCP apps that allow customers to visualize, explore, and interact with S&P Global data inside AI applications. This work continues as we develop additional workflow solutions and AI-native experiences that put trusted data at the center of how customers work with AI and multi-agent systems." 

Media Contacts:

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

Becca Loveridge
S&P Global Market Intelligence
+1 239 273 9566
Becca.Loveridge@spglobal.com 
press.mi@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 in a rapidly changing global landscape.

From helping our customers assess new investments across the capital and commodities markets to navigating 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.

Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/sp-global-launches-adaptive-retrieval-giving-customers-a-new-way-to-access-data-across-ai-and-agentic-workflows-302831022.html

SOURCE S&P Global

FAQ

What is S&P Global's Adaptive Retrieval service for AI workflows in SPGI?

Adaptive Retrieval is a new S&P Global service that lets AI agents and LLMs access licensed data using natural language. According to S&P Global, it assembles data across multiple datasets, supporting complex, multi-step tasks like research and report generation within AI and agentic workflows.

How does Adaptive Retrieval differ from Deterministic Retrieval in S&P Global's AI Data Portal (SPGI)?

Adaptive Retrieval supports natural-language, multi-dataset access for complex AI workflows, while Deterministic Retrieval uses structured API queries. According to S&P Global, Deterministic Retrieval is built on the Kensho LLM-ready API and is suited to focused tasks like company research and earnings call transcript analysis.

What is the S&P Global AI Data Portal and how does it support SPGI customers?

The S&P Global AI Data Portal is a single solution offering both Adaptive and Deterministic Retrieval methods. According to S&P Global, it provides flexible, accurate access to cited, structured, and auditable data for a wide range of AI and multi-agent workflows.

How does S&P Global's Adaptive Retrieval help AI agents use trusted SPGI data?

Adaptive Retrieval lets AI agents pull properly cited, verifiable, and auditable S&P Global data across many sources at once. According to S&P Global, this reduces engineering work so customers can focus on building products and generating insights instead of managing data pipelines.

How does Kensho Data Platforms contribute to S&P Global's AI-native experiences for SPGI users?

Kensho Data Platforms leads development of client interfaces that deliver AI-native user experiences powered by S&P Global data. According to S&P Global, this includes enabling data to flow into tools like Capital IQ Pro and MCP apps for visualization and interaction inside AI applications.

Why is S&P Global emphasizing data retrieval for AI and multi-agent systems (SPGI)?

S&P Global is focusing on retrieval because AI-driven workflows require cited, verifiable data delivered reliably into applications. According to S&P Global, Adaptive and Deterministic Retrieval form a foundation for higher-value AI-native experiences and additional workflow solutions built on its proprietary intelligence.