Darwin website screenshot

Darwin

Darwin AI is an AI governance platform built exclusively for state, local, and education (SLED) government agencies, providing a centralized, secure hub for the public sector to safely adopt, manage, and govern AI tools while ensuring compliance, accountability, and public records requirements are met. The platform serves IT departments, innovation and digital services teams, city and county management, and data governance professionals across municipal and state government. Its core product surface includes the Control Center, which delivers cross-departmental visibility into AI usage along with records management and FOIA compliance tracking; the Policy Wizard, which helps agencies establish and refine AI policies aligned to regulatory requirements using 30+ policy frameworks and 15+ city and county regulation packs; Risk Management, which detects unauthorized or unvetted AI applications; the AI Navigator, which monitors departmental adoption patterns and surfaces actionable insights; and the Marketplace, an organization-wide hub of approved AI applications. Darwin AI was named to Government Technology's 2026 GovTech 100. The company also publishes a free public Policy Wizard tool. Darwin is backed by Insight Partners and was added to the API Evangelist network as a government-sector company profile. As of this enrichment pass Darwin publishes no public API, developer portal, SDKs, or OpenAPI, so this profile captures identity and domain-security posture only.

Darwin is profiled on the APIs.io network. Tagged areas include Company, Government, Artificial Intelligence, AI Governance, and Public Sector.

Darwin’s developer surface includes engineering blog, support, and 5 more developer resources.

15.0/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyGovernmentArtificial IntelligenceAI GovernancePublic SectorComplianceGovTechPolicy

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 15.0/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 1.3 / 20
Commercial Clarity 4.2 / 20
Operational Transparency 0.0 / 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/darwin: 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.

Darwin Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: darwin
name: Darwin
description: Darwin AI is an AI governance platform built exclusively for state, local, and education (SLED) government agencies,
  providing a centralized, secure hub for the public sector to safely adopt, manage, and govern AI tools while ensuring compliance,
  accountability, and public records requirements are met. The platform serves IT departments, innovation and digital services
  teams, city and county management, and data governance professionals across municipal and state government. Its core product
  surface includes the Control Center, which delivers cross-departmental visibility into AI usage along with records management
  and FOIA compliance tracking; the Policy Wizard, which helps agencies establish and refine AI policies aligned to regulatory
  requirements using 30+ policy frameworks and 15+ city and county regulation packs; Risk Management, which detects unauthorized
  or unvetted AI applications; the AI Navigator, which monitors departmental adoption patterns and surfaces actionable insights;
  and the Marketplace, an organization-wide hub of approved AI applications. Darwin AI was named to Government Technology's
  2026 GovTech 100. The company also publishes a free public Policy Wizard tool. Darwin is backed by Insight Partners and
  was added to the API Evangelist network as a government-sector company profile. As of this enrichment pass Darwin publishes
  no public API, developer portal, SDKs, or OpenAPI, so this profile captures identity and domain-security posture only.
url: https://raw.githubusercontent.com/api-evangelist/darwin/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://cdn.prod.website-files.com/674988313ec1e57f3bac35bc/6877ce76ed05a58e2e036142_Frame%2010.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Government
- Artificial Intelligence
- AI Governance
- Public Sector
- Compliance
- GovTech
- Policy
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.darwingov.com/
- type: Blog
  url: https://www.darwingov.com/blog
- type: Support
  url: https://www.darwingov.com/contact-us
- type: PrivacyPolicy
  url: https://www.darwingov.com/privacy-policy
- type: TermsOfService
  url: https://www.darwingov.com/terms-of-use
- type: LinkedIn
  url: https://www.linkedin.com/company/darwin-ai-for-gov/
- type: DomainSecurity
  url: security/darwin-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence