Easel AI
Easel AI is a Los Angeles based generative AI company building a consumer app and a partner-facing image generation platform. Its models turn a single selfie into photorealistic single and multiplayer avatars without any per-user AI training, and the same technology is packaged for commercial use as Fashion Photoshoot (AI models of any race or body type wearing any outfit), Fashion Try-On (shoppers upload a picture and see themselves in an outfit instantly), Ad Creator (personalized ad creative from one selfie plus a context image), and Product Photoshoot (products placed in any scenario). Easel ships a consumer iOS app and markets a Try-On API and ad-generation API to fashion brands, ad platforms, messaging apps, dating and social apps, and talent agencies monetizing digital IP. As of this pass the API surface is partner-gated and contact-sales only - there is no public developer portal, documentation, API reference, machine-readable specification, or self-serve signup published on the website. Easel appears on the a16z investment list.
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 Easel 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 — Easel AI scores 11.8/100 (minimal), with a separate agent-readiness read of 4/100 (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 Easel AI
Each block below is one kind of artifact we hold for Easel 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 Easel 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.
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
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
Other 1
Properties that don't map to a standard resource type
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