Kensho Link

What it does

Kensho Link takes company data such as names, addresses, and countries, including messy or incomplete records, and matches each entity to S&P Global IDs and other global identifiers. For each match it returns identifiers and metadata, along with a link score indicating match strength.

Teams typically use it to clean and enrich CRM or database records by finding duplicates and inconsistencies, and to bring new company information into existing databases. It is also positioned for improving retrieval accuracy in generative AI and agentic workflows, particularly for complex entities such as stock tickers, funds, and indexes, with coverage spanning 70 million public and private companies in S&P Capital IQ Pro and BECRS.

It suits data teams and analysts who maintain company master data or prepare data for AI retrieval. Access is through a web sign-in interface at link.kensho.com and an API documented on the S&P Global developer marketplace. Access terms and entitlements are set by S&P Global, so confirm them directly before relying on the tool.

What it can do

• Advanced entity search by company name, address, and country to retrieve identifiers and metadata
• Link score quantifying match strength for each result
• Matching of company data to unique S&P Global IDs to surface duplicates and inconsistencies
• Data cleaning and enrichment of CRM or database records
• Data synchronization of new information into company databases with coverage across 70 million public and private companies
• Retrieval support for generative AI and agentic workflows involving stock tickers, funds, and indexes

Works with

• S&P Capital IQ Pro
• Business Entity Cross Reference Service (BECRS)

Example workflows

Cleaning a CRM company list

Input: a list of company names, addresses, and countries from a CRM. Steps: run each record through advanced entity search; review link scores; resolve duplicates to shared S&P Global IDs. Output: records matched to identifiers, with duplicates and inconsistencies flagged.

Preparing company data for an AI retrieval pipeline

Input: company, ticker, fund, or index names used in a retrieval system. Steps: match each entity to its S&P Global identifier via the API; attach metadata to the retrieval index. Output: identifier-linked entities that can be used to improve retrieval accuracy.

Before you choose

• Access terms and entitlements are set by S&P Global; confirm them directly.
• Match quality depends on input completeness; the link score indicates match strength.
• Coverage of 70 million companies is tied to S&P Capital IQ Pro and BECRS, so organizations without those datasets should verify which identifiers they can access.

Listed under

• Data
• Data extraction
• Company identifiers
• CRM enrichment
• Data cleaning
• Data integration
• Entity matching
• Financial data

Get started

Sign in via the Kensho Link interface; API documentation is on the S&P Global developer marketplace.

1. Sign into the Kensho Link UI at link.kensho.com to access entity search.
2. Review the API documentation on the S&P Global developer marketplace (Kensho Link catalog service) if programmatic access is needed.
3. Prepare input company data with names, addresses, and countries to improve match quality.

Contact S&P Global or check the developer marketplace listing for current terms.

We couldn’t find published prices for Kensho Link. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Core AI Capabilities | PDF Extraction, Entity Linking, Financial NLP Transcription | Kensho — Kensho | S&P Global’s AI Engine | Enterprise Data Retrieval ↗kensho.com

Company website

kensho.com: product, pricing and policy pages

Web archive

When the site first appeared

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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.