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, Artificial Intelligence, 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

21.1/100 emerging ▬ flat Agent 3/100 human only Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-09-19 · rubric v0.22.0

1 APIs

Company Artificial Intelligence Life Sciences Biomedical Drug Discovery Knowledge Graph Pharmaceuticals Research Agentic AI

Kin Score

Kin Score How this is scored →
scored 2026-09-19 · rubric v0.22.0

Composite quality — 21.1/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 3.2 / 17

Access Clarity 7.2 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 5.7 / 9

Regulatory Posture 4.7 / 15

Agent readiness — 3/100 · human only

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 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 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Regulatory Posture applies to this provider. Its tags matched the Health 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/.

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 github.com/api-evangelist/causaly: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

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

Causaly Bio Graph API

Computational access to Causaly's biomedical knowledge graph — 500 million relationships across biomedical concepts (targets, diseases, biomarkers, organ systems) with direction...

Security Posture 3

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

Causaly Authentication

apiKey · 1 scheme

SECURITY

Causaly Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Causaly Trust Center

trust center published

SECURITY

Resources

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
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:
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
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: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Artificial Intelligence
- Life Sciences
- Biomedical
- Drug Discovery
- Knowledge Graph
- Pharmaceuticals
- Research
- Agentic AI
tags_raw:
- 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

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