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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.

human only

Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.

Kin Score

API Evangelist profiles Medra the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Medra scores 8.1/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 8.1/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Regulatory · Health 2.0 / 15
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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

How we profile Medra

Each block below is one kind of artifact we hold for Medra. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

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

Medra Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Every other property we hold for Medra — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Access & Security 1

Authentication, authorization, and security posture

Company 2

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/medra · machine-readable index on apis.io