Onepot

Onepot (onepot.ai) is a San Francisco-based startup building an AI-powered, fully automated custom synthesis platform for small-molecule drug discovery. It combines ultra-high-throughput lab automation in its POT-1 lab with an AI organic chemist ("Phil") and reaction foundation models to search, quote, and synthesize make-on-demand molecules end to end, aiming to replace slow, error-prone CRO workflows. Onepot exposes a developer API and a Python client (published on PyPI as "onepot") that lets teams run Tanimoto similarity and SMILES/SMARTS substructure search over the full onepot CORE compound space, perform retrosynthetic decomposition with building-block and price/risk filters, stream real-time results over server-sent events, and place synthesis orders programmatically from their own pipelines using an API key.

Onepot publishes 1 API on the APIs.io network. Tagged areas include Company, Chemistry, Cheminformatics, Drug Discovery, and Small Molecule Synthesis.

Onepot’s developer surface includes documentation, API reference, getting-started guide, engineering blog, authentication, and 10 more developer resources.

🌐 Visit website 📡 Source on GitHub
23.6/100 emerging ▬ flat Agent 26/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
1 APIs 1 MCP Servers
CompanyChemistryCheminformaticsDrug DiscoverySmall Molecule SynthesisContract Research OrganizationArtificial IntelligenceMachine LearningLab AutomationLife SciencesAPI

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 23.6/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 13.9 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 26/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 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 5 / 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/onepot: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Onepot API

Programmatic access to onepot CORE for make-on-demand molecule discovery and synthesis. Run similarity (Tanimoto) and substructure (SMILES/SMARTS) search, optional retrosyntheti...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

onepot-mcp.yml

MCP SERVER

Security Posture 2

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

Onepot Authentication

apiKey · 1 scheme

SECURITY

Onepot Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal
DeveloperPortal
 GettingStarted
GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation
Documentation
 APIReference
APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer
MCPServer
 LLMsTxt
LLMsTxt
 AgentSkill
AgentSkill

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conventions
Conventions

Build 2

SDKs, sample code, and the tooling you integrate with

Packages
Packages
 SDKs
SDKs

Access & Security 2

Authentication, authorization, and security posture

Authentication
Authentication
 DomainSecurity
DomainSecurity

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Other 1

Properties that don't map to a standard resource type

Research
Research

Source (apis.yml)

apis.yml Raw ↑ 
aid: onepot
name: Onepot
description: Onepot (onepot.ai) is a San Francisco-based startup building an AI-powered, fully automated custom synthesis
  platform for small-molecule drug discovery. It combines ultra-high-throughput lab automation in its POT-1 lab with an AI
  organic chemist ("Phil") and reaction foundation models to search, quote, and synthesize make-on-demand molecules end to
  end, aiming to replace slow, error-prone CRO workflows. Onepot exposes a developer API and a Python client (published on
  PyPI as "onepot") that lets teams run Tanimoto similarity and SMILES/SMARTS substructure search over the full onepot CORE
  compound space, perform retrosynthetic decomposition with building-block and price/risk filters, stream real-time results
  over server-sent events, and place synthesis orders programmatically from their own pipelines using an API key.
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://www.onepot.ai/onepot_logo_color.svg
url: https://raw.githubusercontent.com/api-evangelist/onepot/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- speedinvest
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Chemistry
- Cheminformatics
- Drug Discovery
- Small Molecule Synthesis
- Contract Research Organization
- Artificial Intelligence
- Machine Learning
- Lab Automation
- Life Sciences
- API
common:
- type: Website
  url: https://www.onepot.ai
- type: DeveloperPortal
  url: https://www.onepot.ai/api
- type: Documentation
  url: https://www.onepot.ai/api
- type: APIReference
  url: https://www.onepot.ai/api
- type: GettingStarted
  url: https://www.onepot.ai/api
- type: Blog
  url: https://www.onepot.ai/blog
- type: Research
  url: https://www.onepot.ai/research
- type: Packages
  url: packages/onepot-packages.yml
- type: SDKs
  url: packages/onepot-packages.yml
- type: Authentication
  url: authentication/onepot-authentication.yml
- type: Conventions
  url: conventions/onepot-conventions.yml
- type: MCPServer
  url: mcp/onepot-mcp.yml
- type: LLMsTxt
  url: llms/onepot-llms.txt
- type: AgentSkill
  url: skills/_index.yml
- type: DomainSecurity
  url: security/onepot-domain-security.yml
apis:
- name: Onepot API
  description: Programmatic access to onepot CORE for make-on-demand molecule discovery and synthesis. Run similarity (Tanimoto)
    and substructure (SMILES/SMARTS) search, optional retrosynthetic decomposition with building-block/price/risk filters,
    stream progress and results over server-sent events, and place synthesis orders. Accessed via the first-party Python client
    (pip install onepot) using an API key; access is gated ("Request API access").
  humanURL: https://www.onepot.ai/api
  baseURL: https://www.onepot.ai
  tags:
  - Chemistry
  - Cheminformatics
  - Molecule Search
  - Retrosynthesis
  - Synthesis
  properties:
  - type: Documentation
    url: https://www.onepot.ai/api
  - type: GettingStarted
    url: https://www.onepot.ai/api
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 8
  pass: local-v1