
Kensho
S&P Global's AI API and platform for financial analysis and data extraction, accessible via LLMs and AI agents
Overview
Kensho is a division of S&P Global offering an AI platform and API for financial analysis and data extraction targeting traders, quantitative analysts, and financial research teams. Its core is the LLM-Ready API connecting S&P Global datasets (earnings call transcripts, transaction data, company financing, credit analysis) directly to language models (Claude, ChatGPT, Gemini, Databricks) and AI agents. Users can query these datasets in natural language without SQL expertise. The platform targets financial institutions (hedge funds, banks, research bureaus) and fintech tool publishers seeking to embed S&P Global financial intelligence into their applications.
Kensho offers no French-language interface: the tool remains exclusively English with no localization plans announced. The REST API follows a standard architecture and can be used directly via a Python client (kFinance) or via an MCP server (Model Context Protocol) for transparent integration with LLMs and AI agents (Claude, ChatGPT, Gemini, Databricks). The platform provides secure OAuth 2.0 access and returns results in JSON format. No public pricing is available: like all S&P Global enterprise products, Kensho operates on custom models with annual contracts and pricing based on query volume, accessed datasets (earnings transcripts, transaction data, credit analysis), and user license count. Implementation, integration, and technical support are handled directly by S&P Global teams, requiring minimum engagement and extended production timelines.
Our verdict
Best for financial institutions (hedge funds, PE funds, research bureaus) and fintech publishers seeking access to S&P Global data and insights via a modern AI API, without building custom extraction pipelines. Not for you if: you are an individual trader or SME. Kensho is an enterprise product with significant costs and implementation complexity, not suited to occasional needs.