Parallels
Parallels is a virtualization and remote-access software company (part of Alludo, with the Parallels virtualization division held by KKR) best known for Parallels Desktop for Mac, which runs Windows, Linux and other operating systems on Apple hardware for over 7 million users. Its enterprise line, Parallels RAS (Remote Application Server), delivers virtual apps and desktops (VDI/DaaS) across on-premises and hybrid-cloud deployments. For developers and IT admins, Parallels exposes a self-hosted Parallels RAS REST API (token-authenticated, port 20443) plus a RAS PowerShell administration module and the prlctl/prlsrvctl command-line tools, and publishes official Terraform, Packer, Vagrant, and Docker Machine integrations for Parallels Desktop from its GitHub organization.
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 Parallels the way a machine reads it — 3 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 — Parallels scores 30.7/100 (thin), with a separate agent-readiness read of 14/100 (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.
How we profile Parallels
Each block below is one kind of artifact we hold for Parallels. 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 1
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.
Parallels RAS REST API
Self-hosted administration REST API for Parallels RAS (Remote Application Server). Applications authenticate with administrator credentials to obtain an authToken, then manage i...
Security 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.
Resources
Every other property we hold for Parallels — 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 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 4
Status, limits, changes, and where to get help
Company 2
The organization behind the API
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