Kensho
Verified Oct 15, 2026 ActiveS&P Global's machine-learning unit: transcription, entity linking, PDF extraction and LLM-ready financial data APIs
Listed on EffectHub ·
Pricing
- Pricing model
- Contact sales
No public price on the site or the developer docs; access goes through the authentication guide after a sales contact, and no free trial is mentioned.
Use tool ↗About Kensho
Kensho is the machine-learning arm of S&P Global, founded out of Harvard and MIT in 2013 and acquired by S&P in 2018. Its documented services turn financial documents and audio into structured data: Scribe transcribes earnings calls, Extract converts PDFs into structured JSON with OCR and figure extraction, NERD identifies and classifies concepts in text, and entity linking maps names onto S&P's financial databases. Newer products — an LLM-ready API with MCP integrations for Claude, ChatGPT, Copilot and Databricks, Adaptive Retrieval data agents and the S&P Global AI Data Portal — package the same data for model-driven workflows. Access is by sales contact and credentials; no price or free trial is published.
- Platforms
- API · Web
- API
- Yes
- Last verified
- Oct 15, 2026
Verified sources
- Homepage positions Kensho as 'The Innovation Engine for S&P Global' and lists the S&P Global AI Data Portal, Deterministic Retrieval with an LLM-ready API, Adaptive Retrieval and Core AI Capabilities; no pricing or trial shown (15 October 2026)kensho.com ↗
- About page: founded out of Harvard and MIT in 2013, acquired by S&P Global in 2018, offices at 44 Brattle Street, Cambridge, MA and 55 Water Street, New York; copyright Kensho Technologies, LLC (15 October 2026)kensho.com ↗
- Developer docs cover Scribe audio transcription, Extract PDF-to-JSON with OCR and a self-deployed container, NERD concept identification, entity linking to financial databases, Adaptive Retrieval and an LLM-ready API with MCP integrations for Claude, ChatGPT, Gemini Enterprise, Microsoft Copilot and Databricks; access via the authentication guide, no pricing or trial (15 October 2026)docs.kensho.com ↗
Is Kensho legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Domain registered
- Aug 3, 1995 (31 years ago)Registry record (RDAP), registrar CSC Corporate Domains, Inc., looked up Sep 6, 2026
- TLS certificate
- Issued by Let's Encrypt, valid until Dec 6, 2026Seen in our own connection to the site on Oct 15, 2026
- Last checked
- Oct 15, 2026The site answered
- On the market since
- 2013The vendor's own material, read by us
- Operated by
- Kensho Technologies, LLC, United StatesOur research, card verified Oct 15, 2026
Pros & cons of Kensho
Kensho makes sense for institutions that already buy S&P Global data and want it machine-readable: entity linking into S&P identifiers and an MCP-ready API are the parts you cannot assemble from open-source models. As a standalone transcription or PDF-extraction vendor it competes with cheaper general-purpose APIs and is only worth the sales process if the S&P linkage matters. Expect enterprise contracting, not a sign-up form.
Pros
- Entity linking resolves names straight into S&P Global's financial databases
- Scribe, Extract and NERD cover audio, PDF and text in one documented stack
- LLM-ready API ships MCP integrations for Claude, ChatGPT, Copilot, Gemini Enterprise and Databricks
- Owned by S&P Global since 2018, so the vendor is not going away
Cons
- No public pricing or free trial; every path leads to a sales contact
- Value depends heavily on also licensing S&P Global data
- General-purpose transcription and OCR APIs are cheaper for non-financial content
Best for
- Banks, asset managers and data teams already licensing S&P Global Market Intelligence
- Quant and research groups that need entity-resolved financial text at scale
- Teams wiring S&P data into LLM agents through MCP or Python
Not for
- Startups wanting a pay-as-you-go transcription or OCR API
- Anyone who needs a published price before engaging sales
Watch out: The useful outputs — S&P identifiers, linked entities, portal data — are only as valuable as your entitlement to the underlying S&P datasets, which is a separate licence.
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