Section AI
Section AI (formerly Section School) is an enterprise AI training and adoption platform that helps large organizations turn AI investment into measurable workforce transformation and ROI. Its two products are Section HQ, a command center for Heads of AI to track usage, measure "AI fitness," surface real-time insights, and manage transformation roadmaps; and Section Coach, personalized AI coaching that delivers skills training, certification programs, and workflow identification to employees and teams. Section also runs AI transformation planning, leadership coaching, AI strategy support, workflow automation, and agentic AI workshops for enterprises of 100+ employees, with customers including Johnson & Johnson, Nike, Okta, Unilever, Mercer, and Publicis. Backed by General Catalyst and led by founder Greg Shove. As of this profile the company exposes a web/app product surface (app.sectionai.com) but publishes no public developer API, OpenAPI, or documentation.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Section AI 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 — Section AI scores 14.9/100 (minimal), 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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Section AI
Each block below is one kind of artifact we hold for Section AI. 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 Section AI — 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.
Get Started 2
Portal, sign-up, and the first successful call
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 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/section · machine-readable index on apis.io