Kensho LLM-ready API
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The Kensho LLM-ready API integrates with large language models like GPT, Gemini, or Claude, enabling customers to use natural language to query S&P Global tabular datasets. The API will support time and resource management by enabling quick and reliable access to company information, financial statements, historic market data, and global securities data. Unlike typical APIs, it is optimized for LLMs by offering a simplified structure that supports code generation and function calling patterns. Kensho provides a Python library that streamlines everything from authentication to LLM integration.
Designed for professionals such as investment bankers, equity analysts, consultants, and other data-driven roles, this LLM-ready API supports efficient retrieval of financial data, including financial statement line items, security identifiers, and market data—ideal for creating pitch books, research reports, and market positioning presentations.
Service Provider Information
Key Information
Use Cases
- This solution allows users to quickly answer a variety of questions related to company financials. The questions may be written in common financial shorthand, and do not need to be written in complete sentences. Some examples include: “What is ExxonMobil’s latest quick ratio?” or “Tesla quarterly net income from 2020 Q1 to 2024 Q1.”
- This solution can also support various workflows and business tasks, such as understanding trading patterns of equities or retrieving data for valuation models.
- Though designed with LLMs in mind, the solution is not limited to LLM use cases alone; it can also be used by Python developers for any type of engineering or as a software development kit (SDK) for S&P Global datasets.
Benefits
- Save time and resources on data integration and preprocessing
- Enhances the value and capabilities of any Generative AI (GenAI) application
- Provides flexibility and choice
- Enables quick and reliable company and market research