CausaLens

causaLens is a London-headquartered enterprise AI company and a pioneer of Causal AI — machine intelligence that models cause-and-effect relationships rather than correlation alone. Its commercial platform, decisionOS, is a decision-making operating system that combines causal discovery, causal graph modelling, and multi-agent "Digital Knowledge Workers" that automate repetitive data-science and analyst workflows for enterprises. The platform is delivered as a hosted product plus a Python-first interface, and is distributed through the Microsoft Azure Marketplace and the UK G-Cloud Digital Marketplace. causaLens also maintains Dara, an Apache-2.0 open-source Python application framework for building interactive, decision-support web apps, published on GitHub with packages on PyPI and npm and full public documentation.

CausaLens is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Causal AI, Machine Learning, and Data Science.

CausaLens’ developer surface includes engineering blog, documentation, API reference, getting-started guide, support, signup flow, CLI, and 21 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

34.1/100 thin ▬ flat Agent 9/100 agent aware Front door AI 6/6 dominant Heartbeat 82/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessOpen

1 API 1 MCP Servers

Company Artificial Intelligence Causal AI Machine Learning Data Science Decision Intelligence Analytics Agents Open Source Python

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 34.1/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 13.4 / 17

Access Clarity 3.6 / 17

Operational Transparency 3.8 / 11

Contract Governance 1.9 / 10

Discoverability 5.5 / 9

Regulatory Posture 3.4 / 15

Agent readiness — 9/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 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 5 / 5

Well-Known Catalog 4 / 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 0 / 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
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

10 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
Access Clarity scores 21.1 — up to +15.8 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/causalens/apis.yml: open an issue on github.com/api-evangelist/causalens 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
UK G-Cloud Suppliers (UK public-sector cloud procurement)	distribution	28.8	-	-

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 1

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.

Agent Skills

measured — observed by APIs.io (published)

APIs 1

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

Dara Application Framework HTTP API

The HTTP surface exposed by a Dara application. Dara is causaLens' Apache-2.0 open-source Python framework built on FastAPI; each app serves a documented set of built-in routes ...

MCP Servers 1

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

CausaLens MCP Server

No causaLens MCP server was found. causaLens publishes no hosted or remote Model Context Protocol endpoint, no MCP entry in any public registry, and no MCP documentation on any ...

MCP SERVER

Security Posture 2

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

Causalens Authentication

0 schemes

SECURITY

Causalens Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

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

LLMsTxt

AgentSkill

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Components

Lifecycle

Conventions

Conformance

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 3

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

ChangeLog

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 4

The organization behind the API

Blog

BlogRSS

Website

Blog

Source (apis.yml)

aid: causalens
name: CausaLens
description: causaLens is a London-headquartered enterprise AI company and a pioneer of Causal AI — machine intelligence that
  models cause-and-effect relationships rather than correlation alone. Its commercial platform, decisionOS, is a decision-making
  operating system that combines causal discovery, causal graph modelling, and multi-agent "Digital Knowledge Workers" that
  automate repetitive data-science and analyst workflows for enterprises. The platform is delivered as a hosted product plus
  a Python-first interface, and is distributed through the Microsoft Azure Marketplace and the UK G-Cloud Digital Marketplace.
  causaLens also maintains Dara, an Apache-2.0 open-source Python application framework for building interactive, decision-support
  web apps, published on GitHub with packages on PyPI and npm and full public documentation.
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: open
  trial: false
  try_now: false
  public: true
  gated: none
  gated_source:
  - onboarding
  label: Open access
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://avatars.githubusercontent.com/u/40164755?s=200&v=4
url: https://raw.githubusercontent.com/api-evangelist/causalens/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.23'
created: '2026-08-09'
modified: '2026-10-06'
x-docs-platform: docusaurus
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-21
tags:
- Company
- Artificial Intelligence
- Causal AI
- Machine Learning
- Data Science
- Decision Intelligence
- Analytics
- Agents
- Open Source
- Python
tags_raw:
- Company
- Artificial Intelligence
- Causal AI
- Machine Learning
- Data Science
- Decision Intelligence
- Analytics
- Agents
- Open Source
- Python
- Machine-Learning
- Open-Source
apis:
- name: Dara Application Framework HTTP API
  description: The HTTP surface exposed by a Dara application. Dara is causaLens' Apache-2.0 open-source Python framework
    built on FastAPI; each app serves a documented set of built-in routes (session verification, token refresh, file upload)
    and lets developers register custom REST endpoints with the dara.core.http get/post/put/patch/delete decorators. Dara
    applications are self-hosted, so there is no single vendor-operated base URL — the base URL is whatever host the operator
    deploys the app to.
  humanURL: https://dara.causalens.com/docs/generated/dara/docs/advanced/custom-endpoints
  x-deployment: self-hosted
  x-base-url-note: Self-hosted framework — no vendor-operated production host exists. No baseURL is recorded rather than fabricate
    one; api.causalens.com does not resolve.
  tags:
  - Framework
  - Python
  - FastAPI
  properties:
  - type: Documentation
    url: https://dara.causalens.com/docs/generated/dara/docs/getting-started/whats-dara
  - type: APIReference
    url: https://dara.causalens.com/docs/generated/dara/reference/dara/core/auth/routes
  - type: Authentication
    url: authentication/causalens-authentication.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- url: https://causalens.com/blogs
  type: Blog
- url: https://causalens.com/blogs/feed
  type: BlogRSS
- type: MCPServer
  url: mcp/causalens-mcp.yml
- type: DomainSecurity
  url: security/causalens-domain-security.yml
- type: Website
  url: https://causalens.com
- type: DeveloperPortal
  url: https://dara.causalens.com
- type: Documentation
  url: https://dara.causalens.com/docs/generated/dara/docs/getting-started/whats-dara
- type: APIReference
  url: https://dara.causalens.com/docs/generated/dara/reference/dara/core/auth/routes
- type: GettingStarted
  url: https://dara.causalens.com/docs/generated/dara/docs/quickstart
- type: GitHubOrganization
  url: https://github.com/causalens
- type: Support
  url: https://github.com/causalens/dara/issues
- type: Blog
  url: https://causalens.com/resource-hub
- type: SignUp
  url: https://platform.causalens.com
- type: PrivacyPolicy
  url: https://causalens.com/privacy-policy
- type: TermsOfService
  url: https://causalens.com/terms
- type: StatusPage
  url: https://status.causalens.com
- type: Packages
  url: packages/causalens-packages.yml
- type: SDKs
  url: packages/causalens-packages.yml
- type: CLI
  url: cli/causalens-cli.yml
- type: Components
  url: components/causalens-components.yml
- type: ChangeLog
  url: changelog/causalens-changelog.yml
- type: Lifecycle
  url: lifecycle/causalens-lifecycle.yml
- type: Authentication
  url: authentication/causalens-authentication.yml
- type: Conventions
  url: conventions/causalens-conventions.yml
- type: Conformance
  url: conformance/causalens-conformance.yml
- type: WellKnown
  url: well-known/causalens-well-known.yml
- type: LLMsTxt
  url: llms/causalens-llms.txt
- type: AgentSkill
  url: skills/_index.yml
x-enrichment:
  date: '2026-08-09'
  status: enriched
  artifacts_added: 14
  pass: local-v1

CausaLens API — frequently asked questions

Does CausaLens have an API?

Yes. APIs.io lists 1 API from CausaLens, including Dara Application Framework HTTP API.

How do I authenticate with the CausaLens API?

CausaLens uses bearer-token authentication (0 schemes). The details are profiled on APIs.io as Causalens Authentication.

Does CausaLens have an MCP server?

Yes. APIs.io lists 1 MCP server for CausaLens: No causaLens MCP server was found. causaLens publishes no hosted or remote Model Context Protocol endpoint, no MCP entry in any public registry, and no MCP documentation on any readable host. No candi

Is the CausaLens API ready for AI agents?

CausaLens has a Kin Score of 34.1 out of 100 (thin) and an Agent Readiness score of 9.0 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

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MCP server

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Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
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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