Chai Discovery

Chai Discovery builds frontier AI to predict and reprogram the interactions between biochemical molecules. Its flagship Chai-1 is a multi-modal foundation model for biomolecular structure prediction across proteins, small molecules, DNA, RNA, glycans, and multi-component complexes, released as an open-source Python package (Apache 2.0) and as a hosted commercial server. Chai-2 extends the platform to de novo antibody design, generating novel antibodies directly from target epitopes without iterative wet-lab screening. Founded in 2023, Chai Discovery is a venture-backed digital-biology company whose developer surface centers on the chai_lab Python package, a command-line interface, and the hosted Chai Design platform.

Chai Discovery is profiled on the APIs.io network. Tagged areas include Company, Digital Biology, Structural Biology, Protein Structure Prediction, and Antibody Design.

Chai Discovery’s developer surface includes documentation, getting-started guide, support, engineering blog, signup flow, CLI, changelog, and 13 more developer resources.

🌐 Visit website 📡 Source on GitHub

23.7/100 emerging ▬ flat Agent 0/100 human only open core · Apache-2.0 Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Digital Biology Structural BiologyProtein Structure PredictionAntibody Design Drug Discovery Machine-Learning Bioinformatics Artificial Intelligence

Kin Score

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

Composite quality — 23.7/100 · emerging

Contract Quality 0.0 / 23

Developer Ergonomics 7.7 / 18

Access Clarity 6.2 / 18

Operational Transparency 2.2 / 12

Contract Governance 0.0 / 11

Discoverability 5.2 / 9

Open Source Surface 2.5 / 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

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against 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 90 points between them, because the conditional facet above carries the other 10. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 90% 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/chai-discovery: 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.

Chai Discovery Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 5

SDKs, sample code, and the tooling you integrate with

SourceCode

SourceCode

GitHubOrganization

Packages

SDKs

CLI

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 4

Status, limits, changes, and where to get help

IssueTracker

Releases

Support

ChangeLog

Commercial 3

Pricing, plans, and the legal terms of use

License

License

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: chai-discovery
name: Chai Discovery
description: Chai Discovery builds frontier AI to predict and reprogram the interactions between biochemical molecules. Its
  flagship Chai-1 is a multi-modal foundation model for biomolecular structure prediction across proteins, small molecules,
  DNA, RNA, glycans, and multi-component complexes, released as an open-source Python package (Apache 2.0) and as a hosted
  commercial server. Chai-2 extends the platform to de novo antibody design, generating novel antibodies directly from target
  epitopes without iterative wet-lab screening. Founded in 2023, Chai Discovery is a venture-backed digital-biology company
  whose developer surface centers on the chai_lab Python package, a command-line interface, and the hosted Chai Design platform.
url: https://raw.githubusercontent.com/api-evangelist/chai-discovery/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- amplify-partners
- bain-capital-ventures
- dcvc
- general-catalyst
- index-ventures
- menlo-ventures
- sapphire-ventures
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: open-core
  license: Apache-2.0
  open_source: true
  commercial: true
  callable_host: false
  label: Open core · an OSS project plus a commercial hosted product
  confidence: high
  source:
  - license
  - pricing
  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
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
image: https://framerusercontent.com/images/GJGIRhiMoAIv0hl9KDGSIa5FCEw.png
tags:
- Company
- Digital Biology
- Structural Biology
- Protein Structure Prediction
- Antibody Design
- Drug Discovery
- Machine-Learning
- Bioinformatics
- Artificial Intelligence
tags_raw:
- Company
- Digital Biology
- Structural Biology
- Protein Structure Prediction
- Antibody Design
- Drug Discovery
- Machine Learning
- Bioinformatics
- Artificial Intelligence
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: IssueTracker
  url: https://github.com/chaidiscovery/chai-lab/issues
- type: Releases
  url: https://github.com/chaidiscovery/chai-lab/releases
- type: License
  name: Apache-2.0
  url: https://github.com/chaidiscovery/chai-lab/blob/main/LICENSE
- type: Website
  url: https://chaidiscovery.com
- type: DeveloperPortal
  url: https://lab.chaidiscovery.com
- type: Documentation
  url: https://docs.chaidiscovery.com
- type: GettingStarted
  url: https://github.com/chaidiscovery/chai-lab#running-the-model
- type: SourceCode
  url: https://github.com/chaidiscovery/chai-lab
- type: GitHubOrganization
  url: https://github.com/chaidiscovery
- type: Support
  url: https://github.com/chaidiscovery/chai-lab/discussions
- type: Blog
  url: https://www.chaidiscovery.com/news
- type: SignUp
  url: https://lab.chaidiscovery.com
- type: TermsOfService
  url: https://www.chaidiscovery.com/terms-of-service
- type: PrivacyPolicy
  url: https://www.chaidiscovery.com/privacy-policy
- type: Packages
  url: packages/chai-discovery-packages.yml
- type: SDKs
  url: packages/chai-discovery-packages.yml
- type: CLI
  url: cli/chai-discovery-cli.yml
- type: ChangeLog
  url: changelog/chai-discovery-changelog.yml
- type: LLMsTxt
  url: llms/chai-discovery-llms.txt
- type: DomainSecurity
  url: security/chai-discovery-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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