酷学院 (Cool College)
酷学院 (Cool College) is an enterprise training and talent-development SaaS platform operated by 酷渲（北京）科技发展有限公司 (Cool Render (Beijing) Technology Co., Ltd.), founded in 2017 and acquired by Beisen in 2025. It provides AI-assisted corporate e-learning — course libraries, learning tasks, learning projects, exams, certificates, credits, and instructor management — with deep integration into DingTalk, Feishu, and WeChat Work. Its Open API (v2) lets integrators sync organization data (users, departments, positions) and read learning, exam, certificate, credit, and archive data for an enterprise tenant, authenticated via an HMAC-SHA256 signature exchange that issues an access_token.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles 酷学院 (Cool College) the way a machine reads it — 10 machine-readable artifacts across 1 API, 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 — 酷学院 (Cool College) scores 35.2/100 (thin), with a separate agent-readiness read of 26/100 (agent aware). 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. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-09-08 · rubric v0.20.0
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How we profile 酷学院 (Cool College)
Each block below is one kind of artifact we hold for 酷学院 (Cool College). 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.
APIs 3
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
酷学院 (Cool College) 学习 API
* 访问学习相关的操作以及数据 * ```{enterprise-id}```可在系统内获取 * 学习的```{plan-id}```可以通过获取学习任务列表的API得到
酷学院 (Cool College) pet API
Everything about your Pets
酷学院 (Cool College) thirdoa API
* OA系统 人员/部门变动事件推送API * 访问该目录下接口时header中需要携带参数 `access-token` 和 `enterprise-id` * access-token 参数来自鉴权接口返回的token值
Open Collections 4
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTION酷学院 REST 学习 API
OPEN COLLECTION酷学院 REST 学习 pet API
OPEN COLLECTION酷学院 REST 学习 thirdoa API
OPEN COLLECTIONSecurity Posture 2
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.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for 酷学院 (Cool College) — 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
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Access & Security 2
Authentication, authorization, and security posture
Operate 2
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
Other 2
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/coolcollege · machine-readable index on apis.io
This is an independent, third-party profile of 酷学院 (Cool College), published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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