How does Kensho differ from general cloud AI services?

It is purpose-built for the financial industry, offering deep integration with S&P Global's proprietary data and specialized models for finance-domain tasks.

What authentication methods are supported?

Authentication uses either a personal access token for development or a public/private key pair for production systems, with SSO options for enterprise.

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Kensho

Kensho is an innovation engine for S&P Global, building AI-driven solutions that connect trusted financial data with large language models (LLMs) and other AI applications. It provides a suite of APIs and tools designed for finance professionals and developers to extract insights, automate workflows, and build intelligent applications. Core capabilities include deterministic and adaptive data retrieval, optical character recognition (OCR), named entity recognition, and structured document extraction. Key offerings include the LLM-ready API for connecting AI models to S&P Global data, Scribe for real-time and batch audio transcription, Extract for transforming PDFs into structured JSON, and NERD for text annotation and concept linking. The platform targets financial analysts, data scientists, AI engineers, and researchers who need to leverage authoritative market data and advanced AI techniques to drive decision-making and innovation in finance.

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Added on

Sep 17, 2026

LLM-ready APIAudio TranscriptionPDF ExtractionNamed Entity RecognitionREST APIMCP IntegrationFinancial Data

Product information

Everything worth knowing about Kensho

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

LLM-ready Data Retrieval

Connects LLMs, agents, and AI applications to S&P Global's trusted data through flexible retrieval methods.

Audio Transcription (Scribe)

Transforms audio into text with high accuracy and speed via batch, real-time, and human-in-the-loop APIs.

Document Extraction

Transforms PDF documents into structured JSON files using OCR and figure extraction capabilities.

Named Entity Recognition (NERD)

Identifies and classifies concepts in text and links entities to financial databases.

Technical capabilities

REST API Architecture

All public-facing APIs use the REST architectural style for integration.

MCP Integration

Supports Model Context Protocol for connecting to AI models like Claude, ChatGPT, and Microsoft Copilot.

Must watch videos

Introducing the Next Evolution of Kensho Link

2:41

Tutorial2:41

Introducing the Next Evolution of Kensho Link

The next evolution of Kensho Link is here. Match company records faster with advanced AI-powered entity resolution. Built to handle typos, aliases, hierarchies, and multilingual company names, quickly and at scale. Get started: https://bit.ly/4w2RTWH #EntityLinking #AI-Matching #KenshoLink

How S&P Global Transformed Enterprise Hiring with AI Agents

1:00:19

Tutorial1:00:19

How S&P Global Transformed Enterprise Hiring with AI Agents

S&P Global discusse their journey in talent acquisition, highlighting the significant role of AI agents in transforming hiring processes. Since acquiring Kensho in 2019 and merging with IHS in 2022, the company has focused on enhancing candidate experiences through agentic AI, which emphasizes orchestration over traditional automation. The discussion underscored the importance of relationship-building in recruitment, shifting the focus from speed to quality and satisfaction. Challenges in maintaining consistency across regions were addressed, along with the need for strong leadership and effective change management in AI implementation. As the future of recruitment evolves, S&P Global aims to leverage AI to improve both operational efficiency and the human aspects of hiring.

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Tutorial3:05

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Who uses it

Real use cases, no hype

Financial Data Enrichment

Link unstructured text or internal databases to S&P Global's authoritative financial entities and knowledge.

Document Intelligence

Automatically convert financial PDFs, reports, and filings into structured JSON for analysis.

AI-Powered Research

Power LLMs and agentic systems with trusted, real-time financial context for accurate reasoning.

Audio Transcription

Transform earnings calls, interviews, and meetings into text with high accuracy for further analysis.

Market Monitoring & Alerts

Build systems that process live financial data streams to detect events and generate insights.

What's great

Direct access to S&P Global's premium, structured financial data.
Specialized for finance domain tasks like entity linking and document parsing.
Provides purpose-built APIs for AI workflows (LLM-ready API, MCP).

Technical strengths

Offers deterministic and adaptive retrieval methods for different AI needs.
RESTful API architecture ensures broad compatibility with standard toolchains.

Where it falls short

Heavily locked into the S&P Global data ecosystem.
Pricing and access likely enterprise-focused, not a free-tier starter tool.
Niche finance focus limits general-purpose utility outside that domain.

Technical limitations

Requires authentication via token or keypair, adding setup steps.
Specific product offerings (Scribe, NERD) have separate, versioned APIs to learn.

For technical folks

The deep-dive specs

FAQ

Includes technical Q&A

To serve as a bridge between your applications and Kensho's specialized financial AI tools, enabling tasks like data retrieval, document parsing, and audio transcription.