Geniebook
Geniebook is a Singapore-based educational technology company (Geniebook Pte Ltd, incorporated 2016) offering an AI-powered online learning platform for primary, secondary, and JC students. Its product suite includes GenieSmart (AI-personalised worksheets generated from a library of 300,000+ MOE syllabus-aligned questions, using algorithms co-developed with A*STAR), GenieClass (live and recorded online classes taught by experienced teachers), and GenieAsk (real-time moderated teacher chats for after-school academic support), plus a CAMPUS physical-tutoring offering and PSLE/JC preparation programmes. Geniebook serves more than 220,000 students across Singapore, Vietnam, Malaysia, and Indonesia, and is backed by Lightspeed Venture Partners. It is a consumer (B2C) learning application delivered via web and mobile apps; no public developer API is published.
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.
Geniebook 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 — Geniebook scores 17.0/100 (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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
Resources
Every other property we hold for Geniebook — 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
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
Geniebook 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/geniebook · machine-readable index on apis.io