Ginkgo Bioworks

Ginkgo AI Model API

Async, job-polling REST API for running inference on public and Ginkgo-proprietary biological foundation models — protein/DNA masked language modeling and mean-embedding generation. Authenticated with an x-api-key header; an official Python client is published on PyPI.

GitHub

Documentation

📖
Documentation
https://ginkgobioworks.github.io/ginkgo-ai-client/
📖
Authentication
https://raw.githubusercontent.com/api-evangelist/ginkgo/refs/heads/main/authentication/ginkgo-authentication.yml

Other Resources

🔗
Conventions
https://raw.githubusercontent.com/api-evangelist/ginkgo/refs/heads/main/conventions/ginkgo-conventions.yml
🔗
ErrorCatalog
https://raw.githubusercontent.com/api-evangelist/ginkgo/refs/heads/main/errors/ginkgo-error-codes.yml
🔗
Lifecycle
https://raw.githubusercontent.com/api-evangelist/ginkgo/refs/heads/main/lifecycle/ginkgo-lifecycle.yml
🔗
MCPServer
https://raw.githubusercontent.com/api-evangelist/ginkgo/refs/heads/main/mcp/ginkgo-mcp.yml
🔗
APIsJSON
https://raw.githubusercontent.com/api-evangelist/ginkgo/refs/heads/main/apis.yml

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API entry from apis.yml

apis.yml Raw ↑ 
name: Ginkgo AI Model API
description: Async, job-polling REST API for running inference on public and Ginkgo-proprietary biological
  foundation models — protein/DNA masked language modeling and mean-embedding generation. Authenticated
  with an x-api-key header; an official Python client is published on PyPI.
humanURL: https://ginkgobioworks.github.io/ginkgo-ai-client/
baseURL: https://api.ginkgobioworks.ai/v1
tags:
- Artificial Intelligence
- Protein Models
- Inference API
properties:
- type: Documentation
  url: https://ginkgobioworks.github.io/ginkgo-ai-client/
- type: Authentication
  url: authentication/ginkgo-authentication.yml
- type: Conventions
  url: conventions/ginkgo-conventions.yml
- type: ErrorCatalog
  url: errors/ginkgo-error-codes.yml
- type: Lifecycle
  url: lifecycle/ginkgo-lifecycle.yml
- type: MCPServer
  url: mcp/ginkgo-mcp.yml