Kensho (S&P Global)

Overview

Kensho is the AI division of S&P Global. It is not a standalone analytics app — it supplies the foundational APIs that make S&P Global data usable by LLMs and AI agents. That covers both the "make data AI-ready" side (structuring financial documents, resolving company entities, transcribing audio) and the access side (querying S&P Global data in natural language).

Key Features

Extract - Document Structuring

Converts PDF financial documents into machine-readable JSON, interpreting complex tables and layouts before emitting structured data.

Link - Entity Resolution

Matches messy or incomplete company-name data to S&P Global identifiers at a scale of millions of entities.

Scribe - Finance-Tuned Transcription

Speech-to-text tuned for the proper nouns and figures that appear in earnings calls. The latest model cuts errors by roughly 30% versus the previous one.

NERD - Entity Linking

Detects companies, securities, and concepts in text and links them to existing structured knowledge.

LLM-ready API (Deterministic Retrieval)

Query S&P Capital IQ Financials, earnings call transcripts, Company Intelligence, and private company financials in natural language, connecting from Claude, ChatGPT, or Copilot through an MCP server. The data comes back pre-processed, so there is no reshaping work when embedding it in your own application.

Adaptive Retrieval

Launched in July 2026, it lets AI agents assemble multi-step requests that span several datasets automatically, complementing the existing Deterministic Retrieval path for focused structured queries.

S&P Global Agent Skills

Published as a plugin that gives AI agents financial skills, letting agentic workflows query Capital IQ financials, estimates, and earnings call transcripts directly.

Embedded in S&P Products

The Kensho Data Platforms group is making client interfaces such as Capital IQ Pro AI-native, powering features like its Document Intelligence tool.

Pricing

No public pricing (enterprise contracts)
Delivered via S&P Global Marketplace and the S&P Global AI Data Portal
Also embedded as features inside S&P products such as S&P Capital IQ Pro
Primary customers: institutional investors, banks, hedge funds, data teams

Typical Use Cases

Embedding S&P Global data into internal AI applications
Agent-driven financial data queries over MCP
Structuring large PDF corpora for data pipelines
Transcribing earnings calls and making them searchable
Company master data resolution and data quality work

Strengths

✅ Direct line into S&P Global's extensive financial data
✅ Ready for MCP and agent-based access
✅ Pre-processed data keeps integration cost low
✅ Finance-tuned transcription and entity-linking accuracy
✅ Proven deployment inside regulated financial institutions

Weaknesses

❌ An API toolkit, not a turnkey product - integration work required
❌ Opaque pricing, enterprise contracts only
❌ Often presupposes an S&P Global data license
❌ Limited features and coverage in non-English markets

Official Resources

公式サイト

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