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S&P Global unveils adaptive retrieval
22 July 2026 US
Image: Indra/stock.adobe.com
S&P Global has launched 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 access to S&P Global data across a full range of AI or agentic workflows.
Adaptive Retrieval allows AI agents and large language models to pull data from many different sources at once and automatically handle requests that involve multiple datasets.
Deterministic Retrieval, built on the Kensho LLM-ready API, provides AI systems API-driven access to S&P Global data through direct, structured queries.
Sally Moore, chief client officer and co-head of Market Intelligence, S&P Global, notes: “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."
Bhavesh Dayalji, head of Kensho Data and Intelligence, S&P Global: “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 visualise, 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."
Alongside the existing Deterministic Retrieval, both methods are now available through the S&P Global AI Data Portal, giving customers access to S&P Global data across a full range of AI or agentic workflows.
Adaptive Retrieval allows AI agents and large language models to pull data from many different sources at once and automatically handle requests that involve multiple datasets.
Deterministic Retrieval, built on the Kensho LLM-ready API, provides AI systems API-driven access to S&P Global data through direct, structured queries.
Sally Moore, chief client officer and co-head of Market Intelligence, S&P Global, notes: “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."
Bhavesh Dayalji, head of Kensho Data and Intelligence, S&P Global: “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 visualise, 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."
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