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Kensho vs Rose AI

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Public API
Kensho has one; not confirmed by us for Rose AI
Higher Trust score
Kensho — 89 vs 83 for Rose AI
Best fit
Kensho: Banks, asset managers and data teams already licensing S&P Global Market Intelligence · Rose AI: macro and cross-asset researchers stitching together series from several vendors
Status
Both up at our last check (Sep 6, 2026)

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

KenshoS&P Global's machine-learning unit: transcription, entity linking, PDF extraction and LLM-ready financial data APIsRose AINatural-language data discovery and charting for finance teams

Side by side

FactKenshoRose AI
CategoryInvesting & Market AnalysisData Analysis Assistants
Pricing modelContactContact
Public APIYesNot confirmed
Trust score89 / 10083 / 100
PlatformsAPI, WebWeb
CompanyKensho Technologies, LLCRose Technology
Launched2013—
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

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

Rose AI

Deliberately narrow: a data-discovery and charting layer for buy-side and macro research, not general BI. The only question that matters in evaluation is whether its catalogue actually carries the series you need.

Pros

  • source traceability on every chart, which matters for review and audit
  • natural-language querying aimed squarely at non-programmers
  • handles external licensed data and internal series in the same workspace
  • front-end assets were rebuilt as recently as mid-2026, so it is actively maintained

Cons

  • the site is a JavaScript app with almost no public product detail — evaluation requires a demo
  • no published pricing and no public API documentation
  • small team, with the last disclosed funding round back in 2021
  • competes with entrenched Bloomberg and FactSet workflows

Which one fits

Choose Kensho if you need

  • 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

Choose Rose AI if you need

  • macro and cross-asset researchers stitching together series from several vendors
  • investment teams that want charts without opening a Python notebook
  • data vendors looking for a permissioning and distribution channel
  • compliance-sensitive work where every number must trace to a source

Kensho vs Rose AI: the questions people ask

Which has a public API, Kensho or Rose AI?

Kensho ships a public API, as of our last verification. A public API for Rose AI is not confirmed by us — check its developer docs before you plan an integration.

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