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.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Darwin the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Darwin scores 15.0/100 (emerging), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
How we profile Darwin
Each block below is one kind of artifact we hold for Darwin. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Darwin — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
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
← All providers · Data indexed from github.com/api-evangelist/darwin · machine-readable index on apis.io