AlphaSense vs Kensho

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: Both have one
Best fit: AlphaSense: Buy-side and sell-side analysts who need filings, transcripts and broker notes searchable in one place · Kensho: Banks, asset managers and data teams already licensing S&P Global Market Intelligence
Platforms: AlphaSense: Web, iOS, Android · Kensho: Web
Trust score: About even — AlphaSense 89, Kensho 89
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

AlphaSenseMarket intelligence search over filings, broker research and expert calls, with cited generative answers

KenshoS&P Global's machine-learning unit: transcription, entity linking, PDF extraction and LLM-ready financial data APIs

Side by side

Fact	AlphaSense	Kensho
Category	Market & Competitive Research	Investing & Market Analysis
Pricing model	Contact	Contact
Public API	Yes	Yes
Trust score	89 / 100	89 / 100
Platforms	Web, iOS, Android, API	API, Web
Company	AlphaSense Inc.	Kensho Technologies, LLC
Launched	2011	2013
Last verified	Sep 6, 2026	Sep 6, 2026

What our research says

AlphaSense

If your team already pays for broker research and expert calls, AlphaSense is the search layer that makes that spend usable, and the citations are granular enough to check rather than trust. It is an enterprise contract with a sales cycle, not a tool you try on a card, and the generative features are only as good as the content sets your subscription unlocks.

Pros

One index over filings, broker research, transcripts and the Tegus expert-call library
Sentence-level citations on generative answers, so claims can be traced back to the document
Office integration through Excel and PowerPoint add-ins plus iOS and Android apps
Developer portal for pulling content and search into internal tools

Cons

No public pricing; annual contracts quoted by sales
Premium content such as broker research and expert calls depends on which packages and add-ons you buy
Enterprise rollout and training are part of the deal, which slows a small team down
Heavy consolidation of acquired products makes the feature set hard to map before a demo

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

Which one fits

Choose AlphaSense if you need

Buy-side and sell-side analysts who need filings, transcripts and broker notes searchable in one place
Corporate strategy and competitive intelligence teams tracking a sector across earnings seasons
Consulting teams that want expert-call transcripts and cited briefs without running interviews themselves

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