Kensho
Kensho is S&P Global's AI engine for vetted, LLM-ready financial data retrieval.
Kensho is the definitive choice if you live inside S&P Global data and want it flowing into LLMs or agents. The new MCP Apps for Claude and ChatGPT and the expanded LLM-ready API make it uniquely practical. Skip it if you lack an S&P Global subscription or need general-purpose AI—this is purpose-built finance infrastructure, not a Swiss-army tool.
Verified 1d ago · liveness 87/100 · cite: rightaichoice.com/tools/kensho
- Financial institutions needing AI-ready S&P Global data for LLM and agent workflows
- Enterprise AI developers building finance-specific applications with vetted, auditable data
- Analysts querying executive profiles and event intelligence via natural language
- Compliance-heavy teams requiring trusted, traceable data for AI decision-making
- Teams needing general-purpose AI without a finance focus
- Startups on a tight budget due to enterprise-only pricing
- Users requiring real-time non-financial data
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Skip Kensho if you don't have an S&P Global subscription, need general-purpose AI, or are a small startup on a tight budget—this is enterprise-grade finance infrastructure with undisclosed, likely expensive pricing.
Requires an existing S&P Global subscription, which can be costly and is not included in Kensho's pricing.
Kensho targets large financial institutions that already pay for S&P Global data. Pricing is enterprise-only and undisclosed, so it's not competitive with per-seat SaaS tools. For S&P Global customers, the value is in making that data AI-ready; for others, the cost is prohibitive compared to general-purpose AI like ChatGPT Enterprise or specialized alternatives like Bloomberg's AI offerings.
In short
Kensho — Kensho is S&P Global's AI engine for vetted, LLM-ready financial data retrieval. Best for Financial institutions needing AI-ready S&P Global data for LLM and agent workflows, Enterprise AI developers building finance-specific applications with vetted, auditable data, Analysts querying executive profiles and event intelligence via natural language. Contact Sales pricing.
Viability Score
How well maintained and how widely used is Kensho? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- LLM-ready API for S&P Global data retrieval
- S&P Capital IQ Professionals dataset (executive profiles)
- S&P Capital IQ Key Developments dataset (events & transactions)
- MCP Apps (beta) for visualizing S&P Global data in Claude
- MCP Apps (beta) for visualizing S&P Global data in ChatGPT
- Interactive S&P Global charts and tables in MCP Apps
- Data availability on Cohere's North platform
- Deterministic retrieval methods for exact data queries
- Adaptive retrieval methods for exploratory AI workflows
- NERD: entity extraction from text
- Link: CRM record cleaning and deduplication
- Extract: structured data extraction from financial PDFs
- Scribe: real-time earnings call transcription
- FIND dataset for document inconsistency detection
- Enterprise-grade security and compliance
About Kensho
Kensho is S&P Global's AI engine, built to pipe trusted financial intelligence into large language models, agents, and AI applications. It targets financial institutions, enterprise AI developers, and analysts who need vetted, auditable data for finance-specific workloads—not generic AI answers. Kensho's flagship LLM-ready API now includes S&P Capital IQ Professionals and Key Developments datasets, so you can query structured executive profiles and event intelligence directly through an API designed for how AI actually consumes data. Recent updates extend Kensho's reach into mainstream AI chat interfaces. The newly launched MCP Apps (beta) let users visualize, explore, and interact with S&P Global charts and tables inside Claude and ChatGPT—turning a chat window into an analytical workspace. On the data-ecosystem side, S&P Global data is now available on Cohere's North platform, powering agentic financial workflows for institutions already standardized on Cohere. Kensho also offers a portfolio of core AI capabilities: NERD for entity extraction, Link for CRM deduplication, Extract for structured data extraction from financial PDFs, Scribe for real-time earnings call transcription, and the FIND dataset—built on ACL 2026 research—for detecting inconsistencies within documents, where top models still miss over 60% of errors. These tools structure and enrich proprietary data, making generative and agentic systems faster and more reliable. Backed by S&P Global's scale and trust, Kensho combines enterprise-grade security and compliance with startup speed—as recognized on Fortune's enterprise AI maturity index and Business Insider's AI Trailblazers list. Unlike generic AI platforms, Kensho delivers finance-specific, vetted data through deterministic and adaptive retrieval methods, positioning it as the bridge between S&P Global's essential intelligence and the next wave of AI applications.
Behind the Verdict
Kensho sits in a unique spot: it's not a general-purpose AI assistant, but an infrastructure layer that connects S&P Global's vast financial data to the AI tools you already use. The LLM-ready API with Capital IQ Professionals and Key Developments datasets is a core differentiator—executive profiles and corporate events, queryable via natural language through an API designed for AI consumption. That's a genuine moat: no one else has this data packaged this cleanly for LLMs. The MCP Apps (beta) are the most visible recent development, letting you pull S&P Global charts and tables directly into Claude or ChatGPT. This turns a chat window into an analytical workspace, which is powerful for analysts who live in those tools. The Cohere North partnership extends the same data to agentic workflows, covering teams standardized on Cohere. Kensho's core AI capabilities—NERD, Link, Extract, Scribe, FIND—are strong complements, structuring your own proprietary data (PDFs, transcripts, CRM records) to feed into those same AI systems. Weaknesses are real: pricing is enterprise-only and undisclosed, and you likely need an existing S&P Global subscription, which can be costly. The integration ecosystem is narrow—Claude, ChatGPT, Cohere—so if you're on other platforms, you'll have to DIY. MCP Apps is still beta, so expect rough edges. This is not for individuals, startups on a tight budget, or anyone needing general-purpose AI. It's for established financial institutions and enterprise teams that already rely on S&P Global data and want to make it AI-native.
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Real-world workflow fit
Concrete scenarios for the personas Kensho actually fits — and what changes day-one when you adopt it.
Needs to quickly assess a company's recent executive changes and key events before making a trade decision.
Outcome: Uses Kensho's LLM-ready API to query natural language questions like 'Who is the new CFO of XYZ? What major transactions occurred last quarter?' and gets structured, vetted data fed directly into a Python notebook or agent, reducing research time from hours to minutes.
Building an internal AI assistant for relationship managers to retrieve client and company data.
Outcome: Integrates Kensho's API with a RAG pipeline, using deterministic retrieval to ensure exact answers for company profiles and events, and adaptive retrieval for exploratory queries. Deploys the assistant with confidence in data accuracy and traceability.
Wants to visualize S&P Global charts directly in conversations with Claude to discuss market trends with a colleague.
Outcome: Uses Kensho's MCP Apps (beta) to pull up interactive charts within Claude, enabling a dynamic back-and-forth where they can explore trends and share insights without leaving the chat window.
Use Cases
- Transcribe earnings calls and investor meetings in real time with Scribe.
- Extract structured data from financial PDFs and filings using Extract.
- Identify company entities in news articles and connect to S&P Global IDs via NERD.
- Clean and deduplicate messy CRM or database records with Link.
- Train custom NLP models using professionally curated financial datasets.
- Visualize S&P Global charts inside Claude or ChatGPT with MCP Apps.
- Query executive profiles and recent corporate events via LLMs using Capital IQ and Key Developments datasets.
- Detect inconsistencies in financial documents using the FIND dataset.
Models Under the Hood
as of 2026-08-15
Limitations
- Pricing is not publicly disclosed; only enterprise plans are offered.
- The platform may be overkill for small-scale or non-financial use cases.
- Integration ecosystem is limited to a few major AI platforms (Claude, ChatGPT, Cohere).
- Requires existing S&P Global subscription which can be costly.
- MCP Apps is still in beta and may have limited functionality or reliability.
as of 2026-08-13
Verification history
We have re-verified Kensho 18 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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Where the pricing makes sense
The company stage and team size where Kensho's pricing actually pencils out — and where peers do it cheaper.
Kensho targets large financial institutions that already pay for S&P Global data. Pricing is enterprise-only and undisclosed, so it's not competitive with per-seat SaaS tools. For S&P Global customers, the value is in making that data AI-ready; for others, the cost is prohibitive compared to general-purpose AI like ChatGPT Enterprise or specialized alternatives like Bloomberg's AI offerings.
Setup time & first value
How long it actually takes to get something useful out of Kensho — broken out by persona, not the marketing-page minute.
For enterprise developers, setting up API access may take days to a few weeks, depending on contract negotiation and IT approvals. For analysts using MCP Apps, once access is granted, setup is near-instant—just install the MCP connector in Claude or ChatGPT. For Cohere North users, integration time depends on existing workflows, but the partnership aims to make data accessible quickly.
Switching to or from Kensho
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Bloomberg Terminal: Export the specific data points you need, then map them to Kensho's API queries to automate retrieval.
- →From custom in-house data pipelines: Replace manual data pulling with Kensho's deterministic retrieval to ensure consistency and reduce engineering overhead.
- ↗To Bloomberg Terminal: Your S&P Global data usage would stop, but you'd lose Kensho's AI-ready structure—you'd need to rebuild that layer yourself.
- ↗To a general-purpose AI platform with custom data connectors: You'd rebuild the data pipelines and lose the vetted, auditable nature of Kensho's data.
Integrations
Resources & Guides
- Resourcekensho.com
Enterprise AI Solutions for Finance | Deterministic and Adaptive Data Retrieval
Explore Kensho’s suite of AI solutions. From LLM-ready APIs and the Kensho Grounding Agent to core ML capabilities, we provide the infrastructure to power trusted, agentic AI in global business and financial services.
- Resourcekensho.com
Careers at Kensho | Join the Team Shaping Financial AI — Kensho | S&P Global’s AI Engine | Enterprise Data Retrieval
Build the future of agentic AI and machine learning. Explore open roles in engineering, research, and data science at Kensho’s Cambridge and NYC hubs and around the globe.
- Resourcekensho.com
Kensho News | Latest Updates in Financial AI & ML Innovation — Kensho | S&P Global’s AI Engine | Enterprise Data Retrieval
Stay informed on Kensho’s latest product launches, research breakthroughs, and partnerships within the S&P Global and AI ecosystems.
Tutorials & Learning
Official links
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