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.

29.0/100 emerging ▬ flat Agent 14/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
0 APIs
CompanyQuality AssuranceTestingBrowser AutomationArtificial IntelligenceAgentsDeveloper ToolsDevOpsCLI

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 29.0/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 11.7 / 20
Commercial Clarity 10.5 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 14/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/ranger: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Ranger Authentication

oauth2/openIdConnect/apiKey · 3 schemes

SECURITY

Ranger Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Ranger Trust Center

trust center published

SECURITY

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

Source (apis.yml)

apis.yml Raw ↑
aid: ranger
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/ranger.png
name: Ranger
description: '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.'
url: https://raw.githubusercontent.com/api-evangelist/ranger/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- general-catalyst
- homebrew
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Quality Assurance
- Testing
- Browser Automation
- Artificial Intelligence
- Agents
- Developer Tools
- DevOps
- CLI
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/ranger-domain-security.yml
- type: Website
  url: https://www.ranger.net
- type: DeveloperPortal
  url: https://docs.ranger.net/
- type: Documentation
  url: https://docs.ranger.net/
- type: GettingStarted
  url: https://docs.ranger.net/getting-started/quickstart/
- type: Blog
  url: https://www.ranger.net/post/why-we-built-a-qa-agent-for-our-background-agent
- type: Pricing
  url: https://www.ranger.net/pricing
- type: Login
  url: https://login.ranger.net/
- type: TermsOfService
  url: https://www.ranger.net/terms-and-conditions
- type: PrivacyPolicy
  url: https://www.ranger.net/privacy-policy
- type: Support
  url: mailto:howdy@ranger.net
- type: Authentication
  url: authentication/ranger-authentication.yml
- type: WellKnown
  url: well-known/ranger-well-known.yml
- type: Packages
  url: packages/ranger-packages.yml
- type: SDKs
  url: packages/ranger-packages.yml
- type: CLI
  url: cli/ranger-cli.yml
- type: Lifecycle
  url: lifecycle/ranger-lifecycle.yml
- type: TrustCenter
  url: security/ranger-trust-center.yml
- type: LLMsTxt
  url: llms/ranger-llms.txt
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 8
  pass: local-v1