Rosebud AI
Rosebud AI is an AI-powered game creation platform that lets anyone build and deploy playable 3D games and interactive worlds from natural-language prompts, a workflow the company calls "Vibe Coding" — you describe scenes, rules, and behaviors and an AI assistant named "Rosie" writes and applies the underlying JavaScript. The platform runs on a custom engine designed for AI-era game development, featuring deterministic WASM-based physics, native real-time multiplayer, instant link-based sharing, and a built-in "Juice API" for camera effects, particle systems, and spatial audio. Founded in 2019 in San Francisco by CEO Lisha Li (Ph.D. in machine learning, UC Berkeley), Rosebud AI is backed by a16z. As of this enrichment pass the company ships a hosted consumer product and publishes no public developer API, OpenAPI/AsyncAPI specification, SDK packages, MCP server, or developer portal.
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.
Rosebud AI is tracked in the API Evangelist network. This page is the human-readable profile that sits on top of the machine-readable index we maintain at apis.io.
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 — Rosebud AI scores 14.4/100 (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
Resources
Every other property we hold for Rosebud 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.
Operate 1
Status, limits, changes, and where to get help
Commercial 3
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
Rosebud AI is in the network as a tracked entity. We haven't yet indexed a public API surface for it — when one is published, the artifacts, score, and agent-readiness read will appear here automatically. The source repository is where that profile is built.
← All providers · Data indexed from github.com/api-evangelist/rosebud-ai · machine-readable index on apis.io