Causaly

Causaly is an agentic AI platform for life sciences R&D, helping pharmaceutical and biotech organizations accelerate drug discovery, target identification, biomarker research, disease pathophysiology analysis, indication expansion, competitive intelligence, and clinical evidence validation. The platform is built on a high-precision biomedical knowledge graph of roughly 500 million facts and 70 million directional relationships across ~5 million biomedical concepts and 150+ ontology categories, paired with a Scientific Information Retrieval System (SIRS) that filters hallucinations. Causaly exposes this graph programmatically through its Bio Graph API (API-token access plus R/Python client libraries), alongside agentic research, Bio Graph, and Pipeline Graph products.

Causaly publishes 1 API on the APIs.io network. Tagged areas include Company, Ai, Life Sciences, Biomedical, and Drug Discovery.

Causaly’s developer surface includes engineering blog, support, signup flow, authentication, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub

20.6/100 emerging Agent 10/100 human only Full breakdown ↓
scored 2026-07-20 · rubric v0.4

1 APIs 0 Features

CompanyAiLife SciencesBiomedicalDrug DiscoveryKnowledge GraphPharmaceuticalResearchAgentic AI

API Rating

API Evangelist Rating How this is scored →
scored 2026-07-20 · rubric v0.4

Composite quality — 20.6/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 3.5 / 20

Commercial Clarity 8.4 / 20

Operational Transparency 0.7 / 13

Governance 0.0 / 12

Discoverability 8.0 / 10

Agent readiness — 10/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

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 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/causaly: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 2

Portal, sign-up, and the first successful call

SignUp

SignUp

Login

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 3

Authentication, authorization, and security posture

TrustCenter

TrustCenter

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: causaly
name: Causaly
description: Causaly is an agentic AI platform for life sciences R&D, helping pharmaceutical and biotech organizations accelerate
  drug discovery, target identification, biomarker research, disease pathophysiology analysis, indication expansion, competitive
  intelligence, and clinical evidence validation. The platform is built on a high-precision biomedical knowledge graph of
  roughly 500 million facts and 70 million directional relationships across ~5 million biomedical concepts and 150+ ontology
  categories, paired with a Scientific Information Retrieval System (SIRS) that filters hallucinations. Causaly exposes this
  graph programmatically through its Bio Graph API (API-token access plus R/Python client libraries), alongside agentic research,
  Bio Graph, and Pipeline Graph products.
url: https://raw.githubusercontent.com/api-evangelist/causaly/refs/heads/main/apis.yml
image: https://cdn.prod.website-files.com/66a8e5ccd2c6460e01d4d385/6718e08fb0203d34b9693190_causaly-logo-footer.svg
x-type: company
x-source: vc-portfolio
x-backed-by:
- iconiq-capital
- index-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Ai
- Life Sciences
- Biomedical
- Drug Discovery
- Knowledge Graph
- Pharmaceutical
- Research
- Agentic AI
apis:
- name: Causaly Bio Graph API
  description: Computational access to Causaly's biomedical knowledge graph — 500 million relationships across biomedical
    concepts (targets, diseases, biomarkers, organ systems) with directional cause-and-effect relationship types. Accessed
    via an enterprise-issued API token with pre-made templates and R/Python client libraries. No public OpenAPI is published.
  humanURL: https://www.causaly.com/products/bio-graph-api
  properties:
  - type: Authentication
    url: authentication/causaly-authentication.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.causaly.com/
- type: Blog
  url: https://www.causaly.com/resources/blog
- type: GitHubOrganization
  url: https://github.com/causaly
- type: Support
  url: https://www.causaly.com/contact-us
- type: SignUp
  url: https://www.causaly.com/request-a-demo
- type: Login
  url: https://med.causaly.com/
- type: TermsOfService
  url: https://www.causaly.com/legal/terms-of-service
- type: PrivacyPolicy
  url: https://www.causaly.com/legal/privacy-policy
- type: TrustCenter
  url: https://trust.causaly.com/
- type: Authentication
  url: authentication/causaly-authentication.yml
- type: DomainSecurity
  url: security/causaly-domain-security.yml
- type: LLMsTxt
  url: llms/causaly-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence