Citrine Informatics website screenshot

Citrine Informatics

Citrine Informatics is an enterprise AI software company for materials and chemicals product development, positioning itself as the world leader in generative AI for the space. The Citrine Platform pairs Citrine DataManager (capturing and organizing organizational materials knowledge on the open-source GEMD data model) with Citrine VirtualLab (running thousands of virtual experiments via Sequential Learning to identify promising formulations), supported by Citrine Catalyst and professional services. Developers integrate through the first-party Python SDK (the "citrine" and "gemd" PyPI libraries) to upload and manage data, build tables, and configure predictors and design spaces. Citrine serves 15+ industries including specialty chemicals, coatings/adhesives/sealants, plastics, personal care, food & beverage, batteries, and metals & alloys, with customers such as LyondellBasell, Eastman, Grace, Stepan, and Collano, plus a DARPA INTACT ceramics program.

Citrine Informatics is profiled on the APIs.io network. Tagged areas include Company, Materials Informatics, Artificial Intelligence, Machine-Learning, and Chemicals.

Citrine Informatics’ developer surface includes documentation, API reference, getting-started guide, engineering blog, support, signup flow, and 8 more developer resources.

21.3/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-21 · rubric v0.12.0
0 APIs
CompanyMaterials InformaticsArtificial IntelligenceMachine-LearningChemicalsMaterials ScienceGenerative AISDKPython

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-21 · rubric v0.12.0
Composite quality — 21.3/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 10.5 / 20
Access Clarity 4.7 / 20
Operational Transparency 0.3 / 13
Contract Governance 0.0 / 12
Discoverability 5.7 / 10
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
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/citrine-informatics: 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.

Citrine Informatics Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: citrine-informatics
name: Citrine Informatics
description: Citrine Informatics is an enterprise AI software company for materials and chemicals product development, positioning
  itself as the world leader in generative AI for the space. The Citrine Platform pairs Citrine DataManager (capturing and
  organizing organizational materials knowledge on the open-source GEMD data model) with Citrine VirtualLab (running thousands
  of virtual experiments via Sequential Learning to identify promising formulations), supported by Citrine Catalyst and professional
  services. Developers integrate through the first-party Python SDK (the "citrine" and "gemd" PyPI libraries) to upload and
  manage data, build tables, and configure predictors and design spaces. Citrine serves 15+ industries including specialty
  chemicals, coatings/adhesives/sealants, plastics, personal care, food & beverage, batteries, and metals & alloys, with customers
  such as LyondellBasell, Eastman, Grace, Stepan, and Collano, plus a DARPA INTACT ceramics program.
url: https://raw.githubusercontent.com/api-evangelist/citrine-informatics/refs/heads/main/apis.yml
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://citrine.io/wp-content/uploads/2023/01/citrine-logo.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- dcvc
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Materials Informatics
- Artificial Intelligence
- Machine-Learning
- Chemicals
- Materials Science
- Generative AI
- SDK
- Python
tags_raw:
- Company
- Materials Informatics
- Artificial Intelligence
- Machine Learning
- Chemicals
- Materials Science
- Generative AI
- SDK
- Python
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/citrine-informatics-domain-security.yml
- type: Website
  url: https://citrine.io
- type: DeveloperPortal
  url: https://citrineinformatics.github.io/citrine-python/
- type: Documentation
  url: https://citrineinformatics.github.io/citrine-python/
- type: APIReference
  url: https://citrineinformatics.github.io/citrine-python/reference/modules.html
- type: GettingStarted
  url: https://citrineinformatics.github.io/citrine-python/getting_started/index.html
- type: GitHubOrganization
  url: https://github.com/CitrineInformatics
- type: Blog
  url: https://citrine.io/resources/blog/
- type: Support
  url: https://citrine.io/contact/
- type: SignUp
  url: https://citrine.io/request-a-demo/
- type: PrivacyPolicy
  url: https://citrine.io/privacy-policy/
- type: Packages
  url: packages/citrine-informatics-packages.yml
- type: SDKs
  url: packages/citrine-informatics-packages.yml
- type: LLMsTxt
  url: llms/citrine-informatics-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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