Kensho

Kensho Technologies is the AI innovation hub of S&P Global, building machine learning and AI systems that structure, connect, and extract meaning from the world's financial and business data. Kensho's developer platform exposes a suite of production APIs: Scribe for speech-to-text transcription of audio and video, Extract for turning PDF documents into structured JSON, NERD for named-entity recognition and disambiguation against Wikimedia and S&P Capital IQ knowledge bases, and the LLM-ready API (kfinance) that connects LLMs, agents, and AI applications to S&P Global's trusted data through Adaptive Retrieval and a hosted, OAuth-secured Model Context Protocol (MCP) server. Authentication is bearer-token based, issued from Kensho's services platform via personal tokens or production key pairs, with OAuth 2.0 (authorization code, client credentials, and refresh token flows, PKCE, and dynamic client registration) for the MCP surface.

Kensho is listed with 4 APIs on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Financial Data, and Speech-to-Text.

The Kensho catalog on APIs.io includes 1 event-driven AsyncAPI specification.

Kensho’s developer surface includes engineering blog, documentation, API reference, getting-started guide, authentication, signup flow, support, and 22 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

48.3/100 developing ▬ flat Agent 46/100 agent ready Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

AccessSelf serve

4 APIs 1 MCP Servers

Company Artificial Intelligence Machine Learning Financial Data Speech-to-Text Transcription Document Extraction Named Entity Recognition Natural Language Processing LLM MCP RetrievalS&P Global

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 48.3/100 · developing

Contract Quality 8.3 / 21

Developer Ergonomics 12.1 / 17

Access Clarity 4.9 / 17

Operational Transparency 6.1 / 11

Contract Governance 1.9 / 10

Discoverability 6.0 / 9

Regulatory Posture 4.4 / 15

Agent readiness — 46/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 6 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too

4 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 39.0 — up to +15.3 composite points
Access Clarity scores 28.9 — up to +14.2 composite points
Contract Governance scores 18.2 — up to +9.8 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/kensho/apis.yml: open an issue on github.com/api-evangelist/kensho to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
RPA and Document AI (RPA marketplaces, intelligent document processing)	distribution	-	-	-
Hugging Face Hub Organisations	distribution	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

APIs 4

Individual APIs this provider publishes, each with its own machine-readable definition.

Kensho Scribe

Asynchronous speech-to-text transcription API that turns audio and video into text with high accuracy. Supports batch, real-time, and human-in-the-loop transcription, multipart ...

Kensho Extract

Document intelligence API that transforms PDF documents into structured JSON, with hierarchical extraction, optical character recognition (OCR), enhanced table extraction, and b...

Kensho NERD

Named Entity Recognition and Disambiguation API that identifies and links concepts in text to knowledge bases (Wikimedia for general entities, S&P Capital IQ for financial organ...

Kensho LLM-ready API (kfinance)

LLM-ready API that connects LLMs, agents, and AI applications to S&P Global's trusted data through flexible retrieval, Adaptive Retrieval data agents, a Python library (kensho-k...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Kensho MCP Server

MCP SERVER

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Kensho Scribe Webhooks

ASYNCAPI

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Kensho Authentication

http/oauth2 · 4 schemes

SECURITY

Kensho Domain Security

TLSv1.3 · DMARC

SECURITY

Kensho Trust Center

SOC 2

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Kensho Scopes

2 scopes · authorizationCode/clientCredentials/refreshToken

2 scopes

SCOPES

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

MCPServer

WellKnown

AgentSkill

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

Conformance

Lifecycle

Webhooks

ErrorCatalog

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 6

Authentication, authorization, and security posture

Authentication

OAuthScopes

TrustCenter

Compliance

SecurityTxt

DomainSecurity

Operate 4

Status, limits, changes, and where to get help

Support

ChangeLog

StatusPage

ChangeLog

Company 2

The organization behind the API

Blog

Blog

Website

Website

Source (apis.yml)

aid: kensho
name: Kensho
description: 'Kensho Technologies is the AI innovation hub of S&P Global, building machine learning and AI systems that structure,
  connect, and extract meaning from the world''s financial and business data. Kensho''s developer platform exposes a suite
  of production APIs: Scribe for speech-to-text transcription of audio and video, Extract for turning PDF documents into structured
  JSON, NERD for named-entity recognition and disambiguation against Wikimedia and S&P Capital IQ knowledge bases, and the
  LLM-ready API (kfinance) that connects LLMs, agents, and AI applications to S&P Global''s trusted data through Adaptive
  Retrieval and a hosted, OAuth-secured Model Context Protocol (MCP) server. Authentication is bearer-token based, issued
  from Kensho''s services platform via personal tokens or production key pairs, with OAuth 2.0 (authorization code, client
  credentials, and refresh token flows, PKCE, and dynamic client registration) for the MCP surface.'
url: https://raw.githubusercontent.com/api-evangelist/kensho/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://services.kensho.com/icons/favicon-32x32.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- general-catalyst
x-parent: sp-global
x-tier: enriched
x-tier-reason: portfolio-lead-enriched
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
x-docs-platform: nextra
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Financial Data
- Speech-to-Text
- Transcription
- Document Extraction
- Named Entity Recognition
- Natural Language Processing
- LLM
- MCP
- Retrieval
- S&P Global
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Financial Data
- Speech to Text
- Transcription
- Document Extraction
- Named Entity Recognition
- Natural Language Processing
- LLM
- Model Context Protocol
- Retrieval
- S&P Global
- Machine-Learning
apis:
- name: Kensho Scribe
  description: Asynchronous speech-to-text transcription API that turns audio and video into text with high accuracy. Supports
    batch, real-time, and human-in-the-loop transcription, multipart and remote-URL submission, HEAD polling for completion,
    and webhook callbacks.
  humanURL: https://docs.kensho.com/scribe/v2/developer-guide
  baseURL: https://scribe.kensho.com
  tags:
  - Speech-to-Text
  - Transcription
  - Audio
  tags_raw:
  - Speech to Text
  - Transcription
  - Audio
  properties:
  - type: Documentation
    url: https://docs.kensho.com/scribe/v2/developer-guide
  - type: APIReference
    url: https://docs.kensho.com/scribe/v2/batch-api-specification
- name: Kensho Extract
  description: Document intelligence API that transforms PDF documents into structured JSON, with hierarchical extraction,
    optical character recognition (OCR), enhanced table extraction, and bounding-box locations. Supports both direct upload
    and a presigned upload/download URL flow for large documents.
  humanURL: https://docs.kensho.com/extract/home
  baseURL: https://extract.kensho.com
  tags:
  - Document Extraction
  - PDF
  - OCR
  properties:
  - type: Documentation
    url: https://docs.kensho.com/extract/home
  - type: APIReference
    url: https://docs.kensho.com/extract/api
- name: Kensho NERD
  description: Named Entity Recognition and Disambiguation API that identifies and links concepts in text to knowledge bases
    (Wikimedia for general entities, S&P Capital IQ for financial organizations and people), returning entity positions, IDs,
    types, and confidence scores (ner_score and ned_score).
  humanURL: https://docs.kensho.com/nerd/overview
  baseURL: https://nerd.kensho.com
  tags:
  - Named Entity Recognition
  - Entity Linking
  - Natural Language Processing
  tags_raw:
  - Named Entity Recognition
  - Entity Linking
  - NLP
  properties:
  - type: Documentation
    url: https://docs.kensho.com/nerd/overview
  - type: APIReference
    url: https://docs.kensho.com/nerd/api
- name: Kensho LLM-ready API (kfinance)
  description: LLM-ready API that connects LLMs, agents, and AI applications to S&P Global's trusted data through flexible
    retrieval, Adaptive Retrieval data agents, a Python library (kensho-kfinance), and a hosted, OAuth-secured Model Context
    Protocol (MCP) server.
  humanURL: https://docs.kensho.com/llmreadyapi/overview
  baseURL: https://kfinance.kensho.com
  tags:
  - LLM
  - Retrieval
  - MCP
  - Financial Data
  tags_raw:
  - LLM
  - Retrieval
  - Model Context Protocol
  - Financial Data
  properties:
  - type: Documentation
    url: https://docs.kensho.com/llmreadyapi/overview
  - type: APIReference
    url: https://docs.kensho.com/llmreadyapi/api
  - type: MCPServer
    url: https://kfinance.kensho.com/integrations/mcp
common:
- url: https://kensho.com/news
  type: Blog
- type: Website
  url: https://kensho.com/
- type: DeveloperPortal
  url: https://docs.kensho.com/
- type: Documentation
  url: https://docs.kensho.com/
- type: APIReference
  url: https://docs.kensho.com/llmreadyapi/api
- type: GettingStarted
  url: https://docs.kensho.com/authentication/personal-token
- type: Authentication
  url: authentication/kensho-authentication.yml
- type: OAuthScopes
  url: scopes/kensho-scopes.yml
- type: SignUp
  url: https://services.kensho.com/free-trial
- type: Support
  url: https://docs.kensho.com/llmreadyapi/support
- type: ChangeLog
  url: https://docs.kensho.com/llmreadyapi/release-notes
- type: GitHubOrganization
  url: https://github.com/kensho-technologies
- type: StatusPage
  url: https://status.kensho.com/
- type: TrustCenter
  url: https://trust.kensho.com/
- type: Compliance
  url: https://trust.kensho.com/
- type: MCPServer
  url: mcp/kensho-mcp.yml
- type: WellKnown
  url: well-known/kensho-well-known.yml
- type: SecurityTxt
  url: well-known/kensho-well-known.yml
- type: Packages
  url: packages/kensho-packages.yml
- type: SDKs
  url: packages/kensho-packages.yml
- type: Conventions
  url: conventions/kensho-conventions.yml
- type: Conformance
  url: conformance/kensho-conformance.yml
- type: Lifecycle
  url: lifecycle/kensho-lifecycle.yml
- type: ChangeLog
  url: changelog/kensho-changelog.yml
- type: Webhooks
  url: asyncapi/kensho-scribe-webhooks.yml
- type: AgentSkill
  url: skills/_index.yml
- type: ErrorCatalog
  url: errors/kensho-problem-types.yml
- type: LLMsTxt
  url: llms/kensho-llms.txt
- type: DomainSecurity
  url: security/kensho-domain-security.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Kensho API — frequently asked questions

Does Kensho have an API?

Yes. APIs.io lists 4 APIs from Kensho, including Kensho Scribe, Kensho Extract and Kensho NERD, and 1 more.

How do I authenticate with the Kensho API?

Kensho documents its authentication (http/oauth2 · 4 schemes). The details are profiled on APIs.io as Kensho Authentication.

Does Kensho have an MCP server?

Yes. APIs.io lists 1 MCP server for Kensho.

Is the Kensho API ready for AI agents?

Kensho has a Kin Score of 48.3 out of 100 (developing) and an Agent Readiness score of 45.9 (agent-ready), scored by API Evangelist on 2026-10-31.

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