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.
Kin Score
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 SERVERSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.