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.

🌐 Visit website 📡 Source on GitHub

21.7/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyMaterials InformaticsArtificial IntelligenceMachine LearningChemicalsMaterials ScienceGenerative AISDKPython

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 21.7/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 9.6 / 20

Commercial Clarity 4.7 / 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/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 →

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

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: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- 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