Valence Discovery

Valence Discovery is an AI-first drug discovery company, now operating as Valence Labs, the AI research engine of Recursion. Formed from the merger of Datamol and InVivo AI, the team builds machine-learning methods and foundation models for molecular design, cellular perturbation prediction, and biological discovery, trained on petabyte-scale phenomics and transcriptomics data. Rather than a public REST API, Valence's developer surface is a suite of first-party open-source Python libraries - datamol, molfeat, graphium, SAFE and OpenQDC - published under the datamol-io and valence-labs GitHub organizations for cheminformatics, molecular featurization, graph neural networks and ML-ready quantum datasets.

Valence Discovery is profiled on the APIs.io network. Tagged areas include Company, Drug Discovery, Machine Learning, Cheminformatics, and Molecular Design.

Valence Discovery’s developer surface includes documentation, engineering blog, and 6 more developer resources.

14.3/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyDrug DiscoveryMachine LearningCheminformaticsMolecular DesignArtificial IntelligenceLife SciencesOpen SourcePython

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 14.3/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 3.5 / 20
Commercial Clarity 2.1 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
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
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/valence-discovery: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Resources

Documentation 1

Reference material describing how the API behaves

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Commercial 1

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: valence-discovery
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/valence-discovery.png
name: Valence Discovery
description: Valence Discovery is an AI-first drug discovery company, now operating as Valence Labs, the AI research engine
  of Recursion. Formed from the merger of Datamol and InVivo AI, the team builds machine-learning methods and foundation models
  for molecular design, cellular perturbation prediction, and biological discovery, trained on petabyte-scale phenomics and
  transcriptomics data. Rather than a public REST API, Valence's developer surface is a suite of first-party open-source Python
  libraries - datamol, molfeat, graphium, SAFE and OpenQDC - published under the datamol-io and valence-labs GitHub organizations
  for cheminformatics, molecular featurization, graph neural networks and ML-ready quantum datasets.
url: https://raw.githubusercontent.com/api-evangelist/valence-discovery/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Drug Discovery
- Machine Learning
- Cheminformatics
- Molecular Design
- Artificial Intelligence
- Life Sciences
- Open Source
- Python
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.valencelabs.com/
- type: GitHubOrganization
  url: https://github.com/valence-labs
- type: Documentation
  url: https://docs.datamol.io
- type: Blog
  url: https://www.valencelabs.com/blog
- type: PrivacyPolicy
  url: https://www.valencelabs.com/privacy-policy
- type: Packages
  url: packages/valence-discovery-packages.yml
- type: SDKs
  url: packages/valence-discovery-packages.yml
- type: DomainSecurity
  url: security/valence-discovery-domain-security.yml
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 2
  pass: local-v1