Clarity AI

Clarity AI is a sustainability technology and fintech company that provides AI-powered extra-financial intelligence for financial decision-making. Its platform delivers ESG risk ratings, climate and physical-risk analytics, regulatory-compliance reporting (EU Taxonomy, SFDR, MiFID II, ESMA fund naming, Pillar 3), impact and UN SDG alignment, and retail-banking climate engagement tools. Clarity AI reports coverage of 300K+ listed and private companies, 450K+ funds, and 400+ sovereigns, and serves asset managers, asset owners, banks, wealth managers, and corporates. The company exposes its data through a web application, data feeds, APIs, and emerging AI agent / MCP integrations, though its developer surface is gated behind an enterprise platform login rather than a public developer portal. Clarity AI is a portfolio company of the SoftBank Vision Fund. This profile is maintained in the API Evangelist network.

Clarity AI is profiled on the APIs.io network. Tagged areas include Company, Enterprise, Sustainability, ESG, and Climate.

Clarity AI’s developer surface includes engineering blog, support, and 13 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

16.7/100 emerging ▬ flat Agent 12/100 agent aware Front door AI 6/6 dominant Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

0 APIs 1 MCP Servers

Company Enterprise Sustainability ESG Climate Fintech Regulatory Compliance Data

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 16.7/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 8.3 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 5.0 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 12/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 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 0 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

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):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →

11 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 0.0 — up to +25.0 composite points Ask about this →
Developer Ergonomics scores 7.1 — up to +18.6 composite points Ask about this →
Operational Transparency scores 0.0 — up to +13.0 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/clarity-ai/apis.yml: open an issue on github.com/api-evangelist/clarity-ai 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
Data Marketplaces (data providers on cloud data platforms)	standard	26.8 (thin)	-	-

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.

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

MCP Servers 1

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

Clarity AI MCP Server

Remote MCP server at mcp.clarity.ai over HTTP.

MCP SERVER

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

Clarity AI

13 quoted statements, read from Clarity AI's own page on 2026-11-09.

TERMS

Compliance 1

Attestations the provider states (SOC 2, ISO 27001 and others), quoted from its own trust page. APIs.io verifies none of them.

Clarity AI

5 quoted statements, read from Clarity AI's own page on 2026-11-09.

COMPLIANCE

Eligibility 1

Who may sign up and where, quoted from its own terms.

Clarity AI

2 quoted statements, read from Clarity AI's own page on 2026-11-09.

ELIGIBILITY

AI Preferences 1

Its stance on AI training, inference and agents, quoted from its own pages.

Clarity AI

2 quoted statements, read from Clarity AI's own page on 2026-11-09.

AI PREFS

Data License 1

How its data and outputs may be reused, quoted from its own terms.

Clarity AI

3 quoted statements, read from Clarity AI's own page on 2026-11-09.

LICENSE

Security Posture 1

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

Clarity AI Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Documentation 1

Reference material describing how the API behaves

AIPreferences

AIPreferences

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

TrustCenter

TrustCenter

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

PrivacyPolicy

TermsOfService

UsageTerms

DataLicense

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

Attestations

Attestations

Eligibility

Eligibility

Source (apis.yml)

aid: clarity-ai
name: Clarity AI
description: Clarity AI is a sustainability technology and fintech company that provides AI-powered extra-financial intelligence
  for financial decision-making. Its platform delivers ESG risk ratings, climate and physical-risk analytics, regulatory-compliance
  reporting (EU Taxonomy, SFDR, MiFID II, ESMA fund naming, Pillar 3), impact and UN SDG alignment, and retail-banking climate
  engagement tools. Clarity AI reports coverage of 300K+ listed and private companies, 450K+ funds, and 400+ sovereigns, and
  serves asset managers, asset owners, banks, wealth managers, and corporates. The company exposes its data through a web
  application, data feeds, APIs, and emerging AI agent / MCP integrations, though its developer surface is gated behind an
  enterprise platform login rather than a public developer portal. Clarity AI is a portfolio company of the SoftBank Vision
  Fund. This profile is maintained in the API Evangelist network.
url: https://raw.githubusercontent.com/api-evangelist/clarity-ai/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: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://clarity.ai/wp-content/uploads/2025/03/clarity-logo.svg
x-type: company
x-source: vc-portfolio
x-backed-by:
- softbank-vision-fund
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Enterprise
- Sustainability
- ESG
- Climate
- Fintech
- Regulatory Compliance
- Data
apis: []
common:
- url: https://clarity.ai/research-and-insights/feed/
  type: BlogRSS
- type: DomainSecurity
  url: security/clarity-ai-domain-security.yml
- type: Website
  url: https://clarity.ai/
- type: TrustCenter
  url: https://trust.clarity.ai/
- type: Blog
  url: https://clarity.ai/research-and-insights/
- type: Support
  url: https://clarity.ai/contact/
- type: Login
  url: https://go.clarity.ai/
- type: PrivacyPolicy
  url: https://clarity.ai/website-privacy-policy/
- type: TermsOfService
  url: https://clarity.ai/services-terms-and-conditions/
- type: LLMsTxt
  url: llms/clarity-ai-llms.txt
- type: UsageTerms
  url: terms/clarity-ai-terms-of-service.yml
- type: Attestations
  url: compliance/clarity-ai-compliance.yml
- type: Eligibility
  url: eligibility/clarity-ai-eligibility.yml
- type: AIPreferences
  url: ai-preferences/clarity-ai-ai-preferences.yml
- type: DataLicense
  url: data-license/clarity-ai-data-license.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

Clarity AI API — frequently asked questions

Does Clarity AI have an MCP server?

Yes. APIs.io lists 1 MCP server for Clarity AI: Remote MCP server at mcp.clarity.ai over HTTP.

Is the Clarity AI API ready for AI agents?

Clarity AI has a Kin Score of 16.7 out of 100 (emerging) and an Agent Readiness score of 12.2 (agent-aware), scored by API Evangelist on 2026-11-13.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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