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 13 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

35.3/100 thin ▬ flat Agent 23/100 agent aware Front door AI 3/6 light saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

0 APIs 1 MCP Servers

Company Quality Assurance Testing Browser Automation Artificial Intelligence Agents Developer Tools DevOps CLI

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 35.3/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 10.9 / 17

Access Clarity 13.2 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 5.0 / 9

Regulatory Posture 3.4 / 15

Agent readiness — 23/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

9 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Operational Transparency scores 0.0 — up to +13.0 composite points
Contract Governance scores 0.0 — up to +12.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/ranger/apis.yml: open an issue on github.com/api-evangelist/ranger to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Ranger MCP Server

Remote MCP server at mcp.ranger.net over HTTP.

MCP SERVER

Ranger API pricing

Prices published by Ranger, read 2026-10-07 from www.ranger.net/pricing. A free plan or tier is listed.

Plan	Price
Free Forever	Free Forever Includes: 5 reviews, Self-serve install
Growth	$50/month/user Includes: Unlimited reviews, Self-serve install, Support via Slack or Email
Enterprise	Contact Sales Includes: Usage Based, Custom onboarding, Support via Slack or Email

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Ranger Plans Pricing

3 plans

PLANS

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

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Build 3

SDKs, sample code, and the tooling you integrate with

Packages

Packages

SDKs

SDKs

CLI

CLI

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

TrustCenter

TrustCenter

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: ranger
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  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: '0.23'
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: Plans
  url: plans/ranger-plans-pricing.yml
- 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

Ranger API — frequently asked questions

How do I authenticate with the Ranger API?

Ranger documents its authentication (oauth2/openIdConnect/apiKey · 3 schemes). The details are profiled on APIs.io as Ranger Authentication.

How much does the Ranger API cost?

Ranger publishes its prices; its Free Forever plan is Free Forever as of 2026-10-07. APIs.io lists 3 pricing plans for Ranger, with each plan's price, limits and inclusions under Pricing on this page.

Does Ranger have an MCP server?

Yes. APIs.io lists 1 MCP server for Ranger: Remote MCP server at mcp.ranger.net over HTTP.

Is the Ranger API ready for AI agents?

Ranger has a Kin Score of 35.3 out of 100 (thin) and an Agent Readiness score of 23.0 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

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Every operation they expose

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How their score was established

curl "https://apis.io/api/v1/providers/ranger/evidence"

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