Ranger
Ranger is an AI-powered quality-assurance platform that lets coding agents verify their own work in a real browser. Its CLI (@ranger-testing/ranger-cli) sets up a project so an AI coding agent — Claude Code, OpenCode, Cursor, Codex, or any bash-capable agent — can run autonomous end-to-end feature reviews: creating scenarios, driving Chromium, self-maintaining broken tests, auto-scaling parallel browsers, and collecting screenshots, recordings, and traces as evidence, with results reviewed on a shared dashboard. Ranger is agent-native rather than a conventional REST API: it ships a Claude Code plugin (ranger@trailhead), Agent Skills installed to .claude/skills/, slash commands, hooks, and OAuth 2.0 / OpenID Connect authentication (login.ranger.net), with MCP-based auth delegation for managed agent platforms. Backed by General Catalyst and Homebrew.
Ranger is profiled on the APIs.io network. Tagged areas include Company, Quality Assurance, Testing, Browser Automation, and Artificial Intelligence.
Ranger’s developer surface includes documentation, getting-started guide, engineering blog, pricing, support, authentication, CLI, and 12 more developer resources.
Kin Score
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API