Medra

Medra builds an AI-powered robotic platform for autonomous laboratory work in the life sciences. Its "Physical AI Scientist" combines robotic hardware, computer vision, and scientific reasoning AI to design, execute, and continuously optimize experiments — gene editing, RNA/nucleic-acid work, antibody design, and cell-based assays — the way a human scientist would. Units are deployed at partner sites including Genentech and Addition Therapeutics, with a DARPA collaboration on its AI Experimentalist reasoning layer. Founded by Michelle Lee and headquartered in San Francisco, Medra raised a $52M Series A (Dec 2025) from investors including Lux Capital and Menlo Ventures. As of this enrichment pass Medra publishes no public API, SDK, developer portal, or documentation surface.

Medra is profiled on the APIs.io network. Tagged areas include Company, Robotics, Artificial Intelligence, Life Sciences, and Drug Discovery.

Medra’s developer surface includes engineering blog and 2 more developer resources.

🌐 Visit website 📡 Source on GitHub

3.8/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Robotics Artificial Intelligence Life Sciences Drug Discovery Laboratory Automation Physical AI Biotechnology

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 3.8/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.3 / 9

Regulatory Posture 1.1 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 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 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/medra: 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 →

Security Posture 1

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

Medra Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: medra
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/medra.png
name: Medra
description: Medra builds an AI-powered robotic platform for autonomous laboratory work in the life sciences. Its "Physical
  AI Scientist" combines robotic hardware, computer vision, and scientific reasoning AI to design, execute, and continuously
  optimize experiments — gene editing, RNA/nucleic-acid work, antibody design, and cell-based assays — the way a human scientist
  would. Units are deployed at partner sites including Genentech and Addition Therapeutics, with a DARPA collaboration on
  its AI Experimentalist reasoning layer. Founded by Michelle Lee and headquartered in San Francisco, Medra raised a $52M
  Series A (Dec 2025) from investors including Lux Capital and Menlo Ventures. As of this enrichment pass Medra publishes
  no public API, SDK, developer portal, or documentation surface.
url: https://raw.githubusercontent.com/api-evangelist/medra/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- lux-capital
- menlo-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Robotics
- Artificial Intelligence
- Life Sciences
- Drug Discovery
- Laboratory Automation
- Physical AI
- Biotechnology
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://medra.ai
- type: Blog
  url: https://www.medra.ai/blog
- type: DomainSecurity
  url: security/medra-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1

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