# Stunt Double: every public page

> Every public page on www.stuntdouble.io, one line each, with what it covers. The short map, with guidance for agents and the developer resources, is https://www.stuntdouble.io/llms.txt.

Stunt Double sends AI users, called actors, through a product in a real browser and reports what they did, step by step, with screenshots. Prices are in US dollars, as on the pricing page. The documentation and guides are on https://docs.stuntdouble.io. The Stunt Double Index (https://index.stuntdouble.io) is a separate public benchmark of how AI agents experience websites.

## Product

- [Home](https://www.stuntdouble.io): What Stunt Double does: actors that use your product in a real browser, interviews, checklists and design reviews, with a live Index scorecard.
- [Product overview](https://www.stuntdouble.io/product): Actors run your product in a real browser, interview a representative panel and check every change you ship.
- [Features](https://www.stuntdouble.io/features): Every feature grouped by job (cast, discover, validate, improve, connect), each linked to its documentation.
- [Synthetic research](https://www.stuntdouble.io/synthetic-research): What a study with a panel of actors returns, how to run one, and the questions that still need people.
- [Topology](https://www.stuntdouble.io/topology): A live, versioned map of every screen in a product, the paths between them and what each release changed.
- [Stunt Double Studio](https://www.stuntdouble.io/studio): The free local app: a checklist runs in Chrome on your machine from your own Claude Code session, on your existing Claude plan, with runs kept as files in the project.
- [Integrations](https://www.stuntdouble.io/integrations): Slack, Linear, GitHub, Figma and Vercel, and Stunt Double from Claude, ChatGPT, Cursor and Claude Code over MCP.
- [Live demo](https://app.stuntdouble.io/demo): Free, no sign-up: runs a real interview against any URL you give it.

## Pricing

- [Pricing](https://www.stuntdouble.io/pricing): Every plan, the feature table and pricing questions. No participant fees or panel credits; annual billing doubles the included minutes.
- Free ($0): One person, no card needed. Two actors and 60 minutes of runs a month, then paused, with 14 days of history. Public URLs only, and Free runs are used to improve actors.
- Solo Trial ($9 a month): One person for up to three months. Three actors, fair-use runs while you trial, 14 days of history and public URLs only.
- Hobby ($79 a team a month): Three collaborators and five actors. 160 minutes of runs a month, then $0.60 a minute, with 30 days of history, public URLs, and Slack or Linear.
- Startup ($279 a team a month): Ten collaborators, then $5 each, and seven actors. 560 minutes of runs a month, then $0.60 a minute, with 90 days of history. Adds private URLs, signed-in credentials, an email inbox and two actor phone numbers for SMS codes (then $10 each).
- Pro ($599 a team a month): 25 collaborators, then $5 each, and 15 actors. 1,000 minutes of runs a month, then $0.60 a minute, with 360 days of history, five actor phone numbers and the API.
- Enterprise (priced on request): Custom seats, actors and usage, full history, VPN or VPC connections, self-hosted workers and unlimited actor phone numbers.

## Use cases

- [Use cases](https://www.stuntdouble.io/use-cases): Each job Stunt Double does, how it is done, the requirements you would write and where it stops.
- [Test your signup and onboarding as a new user](https://www.stuntdouble.io/use-cases/onboarding-testing): An AI actor signs up for your product cold, with its own inbox and a real browser, and shows you every step where a new user would stall.
- [Find the step where your checkout loses people](https://www.stuntdouble.io/use-cases/checkout-testing): Actors go through your funnel from landing page to confirmation as the customers you want, and show you the screen where each one stopped.
- [Test apps and prototypes built with AI](https://www.stuntdouble.io/use-cases/ai-built-apps): Publish the app from v0, Figma Make or a Claude artifact and have actors work through it before anyone else does.
- [Check every pull request in a real browser](https://www.stuntdouble.io/use-cases/pull-request-checks): Run a checklist against each preview deployment and post the result on the pull request, so a regression shows up before merge.
- [Test how AI agents get on with your site](https://www.stuntdouble.io/use-cases/agent-readiness): Send an AI agent through your site with a task and see the step where it gives up, before the agents your customers use find it.
- [Check every page against your brand and design system](https://www.stuntdouble.io/use-cases/brand-compliance): Give a project its guidelines and every design review applies them the same way, on live pages and Figma frames, with each finding citing the rule.
- [Test staging and internal tools behind your firewall](https://www.stuntdouble.io/use-cases/internal-tools): Run actors in a browser on your side of the firewall, so staging, admin panels and intranets get tested with no inbound firewall changes.

## Comparisons

- [Compare](https://www.stuntdouble.io/compare): Stunt Double beside named products, with a dated source for every fact about them.
- [Alternatives](https://www.stuntdouble.io/alternatives): Stunt Double beside usability panels, scripted end-to-end tests, manual QA, analytics and synthetic personas, and when it is the wrong tool.
- [Stunt Double vs Versive](https://www.stuntdouble.io/compare/versive): Versive pairs AI persona tests with AI-moderated studies of real people. Stunt Double runs actors through your product and checks it on every change.
- [Stunt Double vs Maze](https://www.stuntdouble.io/compare/maze): Maze runs prototype tests, surveys and interviews with real people from its panel. Stunt Double runs actors through your product on every change.
- [Stunt Double vs TestSprite](https://www.stuntdouble.io/compare/testsprite): TestSprite generates and runs end-to-end and API test code from your IDE or CI. Stunt Double runs actors through your product as your users would.
- [Stunt Double vs Momentic](https://www.stuntdouble.io/compare/momentic): Momentic keeps plain-English end-to-end tests in your repo and runs them in CI on web and mobile. Stunt Double runs actors through your product.
- [Stunt Double vs Synthetic Users](https://www.stuntdouble.io/compare/synthetic-users): Synthetic Users interviews AI participants built from your audience data. Stunt Double runs actors through your product and checks it on every change.

## Glossary

- [Glossary](https://www.stuntdouble.io/glossary): Plain definitions of AI user testing terms, each saying where Stunt Double fits and where it stops.
- [Agent experience (AX)](https://www.stuntdouble.io/glossary/agent-experience): Agent experience is how well an AI agent can use a product on someone’s behalf: find what it needs, understand the page, and finish the task without a person stepping in.
- [AI user testing](https://www.stuntdouble.io/glossary/ai-user-testing): AI user testing sends AI agents with defined personas through a product in place of recruited participants, and reports what each one did and where it got stuck.
- [Browser agent](https://www.stuntdouble.io/glossary/browser-agent): A browser agent is an AI model that operates a web browser: it reads the page, decides on an action such as a click or a keystroke, performs it, and repeats until the task is done.
- [llms.txt](https://www.stuntdouble.io/glossary/llms-txt): llms.txt is a plain-text Markdown file at the root of a website that tells language models what the site is and links to the pages worth reading, in a form that is cheap to fetch and parse.
- [Model Context Protocol (MCP)](https://www.stuntdouble.io/glossary/model-context-protocol): The Model Context Protocol is an open standard for connecting AI assistants to tools and data. A service exposes an MCP server, and any MCP client, such as Claude or Cursor, can call its tools.
- [Prototype testing](https://www.stuntdouble.io/glossary/prototype-testing): Prototype testing puts an unfinished design in front of users to see whether they can complete the key tasks before anything is built.
- [Sycophancy in synthetic research](https://www.stuntdouble.io/glossary/sycophancy): Sycophancy is the tendency of language models to tell the person asking what they seem to want to hear. In synthetic research it shows up as simulated users who like every concept they are shown.
- [Synthetic research](https://www.stuntdouble.io/glossary/synthetic-research): Synthetic research is user research run with AI participants instead of recruited people: interviews, usability tasks and studies where the participants are personas played by AI agents.
- [Synthetic users](https://www.stuntdouble.io/glossary/synthetic-users): Synthetic users are AI agents given a persona (a background, goals and constraints) that stand in for real users in research or testing.
- [Usability testing](https://www.stuntdouble.io/glossary/usability-testing): Usability testing watches people attempt real tasks in a product to find where they hesitate, make mistakes or give up.
- [User persona](https://www.stuntdouble.io/glossary/user-persona): A user persona is a profile of a type of person a product serves: who they are, what they are trying to do, what they know already and what gets in their way.
- [UX regression testing](https://www.stuntdouble.io/glossary/ux-regression-testing): UX regression testing checks, after every change, that the flows users depend on still work and still make sense, not only that the code still passes.
- [Agentic commerce](https://www.stuntdouble.io/glossary/agentic-commerce): Agentic commerce is buying and booking done by an AI agent on a person’s behalf: the agent searches, compares the options and completes the checkout, and the person approves the result.
- [End-to-end testing](https://www.stuntdouble.io/glossary/end-to-end-testing): End-to-end testing runs a scripted path through a whole application, from the interface to the database and back, to check that the parts work together the way a user would meet them.
- [Heuristic evaluation](https://www.stuntdouble.io/glossary/heuristic-evaluation): Heuristic evaluation is an expert review of an interface against a set of principles, such as Nielsen’s ten usability heuristics, that lists each problem found and the principle it breaks.
- [Synthetic monitoring](https://www.stuntdouble.io/glossary/synthetic-monitoring): Synthetic monitoring runs scripted checks against a live site on a schedule, from outside, to catch outages and slow pages before real visitors meet them.
- [Think-aloud protocol](https://www.stuntdouble.io/glossary/think-aloud-protocol): The think-aloud protocol asks a participant to say what they are thinking as they work through a task, so a researcher hears the reasoning behind each click, not only the click.

## Blog

- [Blog](https://www.stuntdouble.io/blog): Backstage: building Stunt Double, at the meeting point of user-centered design and AI.
- [Blog RSS feed](https://www.stuntdouble.io/blog/rss.xml)
- [Teaching Claude and coding agents to stack PRs](https://www.stuntdouble.io/blog/teaching-claude-to-stack-prs): GitHub now supports stacked pull requests natively, but coding agents in cloud sandboxes could not use them. Here is how we fixed that with agent instructions and a one-line environment change.
- [How to Test Your Product for AI Agent Users](https://www.stuntdouble.io/blog/how-to-test-your-product-for-ai-agent-users): AI agents are already signing up for your product, checking out, and navigating flows. Most products break silently when the user isn't human. Here's how to find out where.
- [Introducing the Stunt Double Index](https://www.stuntdouble.io/blog/introducing-the-stunt-double-index): A free, public benchmark of how AI agents experience websites. Look up your domain, see where agents stop, and get the list of what to fix.
- [Your Users may not be Human](https://www.stuntdouble.io/blog/your-users-may-not-be-human): In June 2026 Cloudflare confirmed machines now generate more web traffic than people. Every one of those visits is a user nobody has watched, and nobody can ask why. What does user-centred mean in this new age of AI?
- [Building with Supabase](https://www.stuntdouble.io/blog/building-stunt-double-on-supabase): How we run a multi-tenant AI agent platform on Supabase: row level security for tenant isolation, OAuth and passkeys for humans and machines, pgvector for agent RAG, read replicas for global reads, and preview branches for every pull request.
- [What Is MCP and Why It Matters for Product Teams](https://www.stuntdouble.io/blog/what-is-mcp-and-why-it-matters-for-product-teams): The Model Context Protocol lets AI assistants call tools in external services. For product teams, that means testing, feedback, and issue tracking without leaving your editor.
- [Building a Self-Healing Product Feedback Loop](https://www.stuntdouble.io/blog/self-healing-feedback-loop): Turn error signals and feedback into almost instant product improvements with triage and cloud coding agents.
- [For Humans & Their Machines](https://www.stuntdouble.io/blog/for-humans-and-their-machines): User-centred design in a world with AI agents.

## Insights

- [Insights](https://www.stuntdouble.io/insights): Research, practice and field notes on designing products that people and agents both have to get through.
- [Insights RSS feed](https://www.stuntdouble.io/insights/rss.xml)
- [Predictive UX Analysis for Product Teams: What It Is and When Simulation Beats Observation](https://www.stuntdouble.io/insights/predictive-ux-analysis-for-product-teams-what-it-is-and-when-simulation-beats-observation): Observational UX research tells you what already broke. Predictive UX analysis using agent simulation tells you what will break before it reaches real users. Here is how to know which one your team needs, and when.
- [What to Put in an AI Agent Testing Framework: The Decisions Before You Write a Single Script](https://www.stuntdouble.io/insights/what-to-put-in-an-ai-agent-testing-framework-the-decisions-before-you-write-a-single-script): Most teams building an AI agent testing framework start with tools. This piece argues the architectural decisions you make before writing a single script determine whether your framework catches real failures or just runs green.
- [Agent Identity Is Coming: How to Test Your Auth Flows Before the Standards Land](https://www.stuntdouble.io/insights/agent-identity-is-coming-how-to-test-your-auth-flows-before-the-standards-land): IETF and OpenID Foundation drafts on AI agent identity are already circulating, but no stable protocol is expected before December 2027. Here is how to test your auth flows against draft patterns now, before a forced migration makes it expensive.
- [Agent sessions look like bounces: how to tell them apart](https://www.stuntdouble.io/insights/agent-sessions-look-like-bounces)
- [The UX Metrics That Lie: Why Satisfaction Scores Miss Agent-Driven Experience Failures](https://www.stuntdouble.io/insights/the-ux-metrics-that-lie-why-satisfaction-scores-miss-agent-driven-experience-failures): CSAT and NPS can show 9/10 while AI agents silently fail to parse forms, loop on navigation states, and abandon tasks. Here is what those scores structurally cannot see.
- [Choosing an AI Agent Testing Approach: What UK Product Teams Actually Need to Decide](https://www.stuntdouble.io/insights/choosing-an-ai-agent-testing-approach-what-uk-product-teams-actually-need-to-decide): The choice between scripted automation, AI-assisted testing, and full agent simulation is not a tooling question. It is a question of what failure modes you are trying to catch, how fast your product changes, and who your users actually are.
- [Designing for AI Agents: What Product Teams Need to Know](https://www.stuntdouble.io/insights/designing-for-ai-agents-what-product-teams-need-to-know): AI agents are no longer a future concern — they're navigating your product today. Here's what product teams must understand about designing and testing interfaces built for both humans and agents.
- [Four Signals Your Product Analytics Will Never Surface (But Agent Simulation Will)](https://www.stuntdouble.io/insights/four-signals-your-product-analytics-will-never-surface-but-agent-simulation-will): Analytics dashboards show where users dropped off. They cannot show where an AI agent mis-parsed a label, hesitated on a form, or abandoned a task without firing a single funnel event. These are the four blind spots.
- [MCP Is Already in Your Product: What Australian Growth Teams Need to Test Now](https://www.stuntdouble.io/insights/mcp-is-already-in-your-product-what-australian-growth-teams-need-to-test-now): MCP-enabled agents are hitting Australian product flows right now, and most analytics stacks cannot tell the difference. Here is the audit checklist growth teams need before the gaps show in the data.
- [Why Your Regression Suite Misses Every Agent-Driven Failure Mode](https://www.stuntdouble.io/insights/why-your-regression-suite-misses-every-agent-driven-failure-mode): Regression suites are built to catch what humans wrote breaking. They have no architecture for what an AI agent does next. Here is where that gap lives, and what a parallel test layer looks like.
- [Cursor AI: what it ships and what it misses](https://www.stuntdouble.io/insights/cursor-ai-editor): Cursor is the default AI-native IDE in 2026, shipping 41% of global code. But adoption and trust are moving in opposite directions. Here is what the numbers say.
- [What conversational AI actually does to your website](https://www.stuntdouble.io/insights/conversational-ai): Conversational AI has moved past the chatbot. In 2026, agents act on your product without a user present, and most websites are not built for that. Here is what is changing, and what breaks first.
- [The product life cycle in 2026: what AI changes at every stage](https://www.stuntdouble.io/insights/product-life-cycle): The four-stage product life cycle still holds. What has changed is everything that happens inside each stage: who is using the product, how fast the stages compress, and why experience decay after launch goes unmeasured.
- [What flow AI is, and why product teams need to test for it](https://www.stuntdouble.io/insights/flow-ai): AI agents are already navigating your product, completing tasks, and abandoning flows. This is what flow AI means, why it matters now, and what product teams need to do about it.
- [Cursor ships the product. Then what?](https://www.stuntdouble.io/insights/cursor-ai): Cursor has doubled coding speed and ships full production apps in weeks. But 42% of committed code is AI-generated and most of it goes unverified. Here is what that means for the product your users actually encounter.
- [What an AI generator does when it visits your product](https://www.stuntdouble.io/insights/ai-generator): AI generators are no longer just tools you deploy. They are visitors your product receives. Here is what that means for product, design, and growth teams building in 2026.
- [What Meta AI actually does to your website](https://www.stuntdouble.io/insights/meta-ai): Meta's AI systems made over 150 optimisation decisions today on campaigns pointing at someone's landing page. The person who owns that page almost certainly does not know.
- [What an AI agent actually does to your product](https://www.stuntdouble.io/insights/ai-agent): An agent abandoned checkout because a tooltip blocked the button. No error was thrown. No one knew. Here is what AI agents are, how they move through products, and why most teams are not ready for them.
- [Two things called AI detector (and why one matters more in 2026)](https://www.stuntdouble.io/insights/ai-detector): Most people searching 'AI detector' want to check text. But there is a second kind of AI detector that product teams are only just discovering: one that tells you whether AI agents can actually use your product.

## Changelog

- [Changelog](https://www.stuntdouble.io/changelog): Every release, newest first.
- [v1.35: Stunt Double Studio, free on your own machine, plus a browser for each checklist](https://www.stuntdouble.io/changelog/v1-35): Released November 2026.
- [v1.34: Clearer failed runs, warnings before you hit a limit and handing over a workspace](https://www.stuntdouble.io/changelog/v1-34): Released November 2026.
- [v1.33: A guided Mac setup, a site map for every new project and payments in early access](https://www.stuntdouble.io/changelog/v1-33): Released October 2026.
- [v1.32: Automations with several triggers, a free plan and quicker switching between accounts](https://www.stuntdouble.io/changelog/v1-32): Released October 2026.
- [v1.31: Watch runs land on the project overview, share interview reports and test internal sites](https://www.stuntdouble.io/changelog/v1-31): Released October 2026.
- [v1.30: Your first result in minutes, a dashboard that opens on what needs you, and actors you can tune](https://www.stuntdouble.io/changelog/v1-30): Released October 2026.
- [v1.29: Pricing in your currency, plans that match it and runs you can stop from the report](https://www.stuntdouble.io/changelog/v1-29): Released October 2026.
- [v1.28: Usability scores for interviews, one place for integrations and guided checklists](https://www.stuntdouble.io/changelog/v1-28): Released October 2026.
- [v1.27: Results in your AI assistant, Topology for everyone and your Index score in your project](https://www.stuntdouble.io/changelog/v1-27): Released October 2026.
- [v1.26: More dynamic interviews with behavior controls](https://www.stuntdouble.io/changelog/v1-26): Released October 2026.
- [v1.25: Deep insights on agent performance with the new Index](https://www.stuntdouble.io/changelog/v1-25): Released October 2026.
- [v1.24: Faster actor runs, a fairer Index, and a live run card](https://www.stuntdouble.io/changelog/v1-24): Released September 2026.
- [v1.23: Interview videos you can watch, reports in tabs, and Claude Opus 5.5](https://www.stuntdouble.io/changelog/v1-23): Released September 2026.
- [v1.22: Clearer MCP permissions, a calmer Runner, and a public brand kit](https://www.stuntdouble.io/changelog/v1-22): Released September 2026.
- [v1.21: Interviews by round, your team by email domain, and a new look](https://www.stuntdouble.io/changelog/v1-21): Released September 2026.
- [v1.20: Faster interview setup, default links, and runs that update live](https://www.stuntdouble.io/changelog/v1-20): Released September 2026.
- [v1.19: Runner builds automations, and counts show what is waiting](https://www.stuntdouble.io/changelog/v1-19): Released September 2026.
- [v1.18: Everything in one place, issues found for you, and the user journey on a timeline](https://www.stuntdouble.io/changelog/v1-18): Released September 2026.
- [v1.17: Weighted scores, run comparison, and comments that arrive live](https://www.stuntdouble.io/changelog/v1-17): Released September 2026.
- [v1.16: Comments pinned to elements, a chat you can steer, and reviews that use the product](https://www.stuntdouble.io/changelog/v1-16): Released August 2026.
- [v1.15: Interviews on video, your design system as rules, and design review in Slack](https://www.stuntdouble.io/changelog/v1-15): Released August 2026.
- [v1.14: Workspace security controls, checklist templates, and design review in Slack](https://www.stuntdouble.io/changelog/v1-14): Released July 2026.
- [v1.13: Auto-join by email domain, a guides library, and steadier interviews](https://www.stuntdouble.io/changelog/v1-13): Released July 2026.
- [v1.12: Runner remembers, actors on your internal apps, and pins that stay put](https://www.stuntdouble.io/changelog/v1-12): Released July 2026.
- [v1.11: Comments get their own view, workers drive your own browser, and a full-screen flow editor](https://www.stuntdouble.io/changelog/v1-11): Released July 2026.
- [v1.10: Branching automations, shareable reports, and tests against your latest deploy](https://www.stuntdouble.io/changelog/v1-10): Released June 2026.
- [v1.9: Try a live interview before you sign up, and discussion guides written for you](https://www.stuntdouble.io/changelog/v1-9): Released June 2026.
- [v1.8: Times in your time zone, and more control from your AI tools](https://www.stuntdouble.io/changelog/v1-8): Released June 2026.
- [v1.7: Passkeys, visual flow editors, and reports in your language](https://www.stuntdouble.io/changelog/v1-7): Released June 2026.
- [v1.6: Backstage, one-click Claude setup, and a smoother sign-in](https://www.stuntdouble.io/changelog/v1-6): Released June 2026.
- [v1.5: Discover, Validate, Improve, and workers you can host yourself](https://www.stuntdouble.io/changelog/v1-5): Released May 2026.
- [v1.4: User interviews: qualitative research with your cast](https://www.stuntdouble.io/changelog/v1-4): Released May 2026.
- [v1.3: The Index, the Marquee design, and a desktop refresh](https://www.stuntdouble.io/changelog/v1-3): Released April 2026.
- [v1.2: Design reviews, Figma projects, and site topology](https://www.stuntdouble.io/changelog/v1-2): Released April 2026.
- [v1.1: Desktop app for macOS](https://www.stuntdouble.io/changelog/v1-1): Released April 2026.
- [v1.0: Feedback forms, account visibility, simpler MCP, and new cast members](https://www.stuntdouble.io/changelog/v1-0): Released March 2026.
- [v0.9: GitHub and Linear integrations, and enterprise workers](https://www.stuntdouble.io/changelog/v0-9): Released March 2026.
- [v0.8: Feedback pins, a chat that knows your workspace, and a faster app](https://www.stuntdouble.io/changelog/v0-8): Released March 2026.
- [v0.7: Insights beta, goal linking, and a redesigned project dashboard](https://www.stuntdouble.io/changelog/v0-7): Released March 2026.
- [v0.6: Simpler sign-in, redesigned login pages, and SEO foundations](https://www.stuntdouble.io/changelog/v0-6): Released March 2026.
- [v0.5: Feedback capture and the MCP server](https://www.stuntdouble.io/changelog/v0-5): Released November 2025.
- [v0.4: Actors that browse the web](https://www.stuntdouble.io/changelog/v0-4): Released August 2025.
- [v0.3: Checklists: automated verification](https://www.stuntdouble.io/changelog/v0-3): Released May 2025.
- [v0.2: Workspaces, projects, and teammates](https://www.stuntdouble.io/changelog/v0-2): Released February 2025.
- [v0.1: First light: actors and chat](https://www.stuntdouble.io/changelog/v0-1): Released November 2024.

## Documentation and guides

- [Documentation](https://docs.stuntdouble.io): Quickstart, tutorials, concepts, the API and the MCP server reference.
- [Guides](https://docs.stuntdouble.io/guides): Playbooks for wiring Stunt Double into your workflow.
- [Design in Claude, validate with personas](https://docs.stuntdouble.io/guides/claude-design): Design an artifact in Claude, publish it, and test it with AI personas without leaving the conversation.
- [Test Figma prototypes with AI personas](https://docs.stuntdouble.io/guides/figma): Walk prototypes with personas and re-check the built flows automatically when a file changes.
- [The fastest idea-to-evidence loop with Figma Make](https://docs.stuntdouble.io/guides/figma-make): Publish a Make site and have AI personas try to use it before an engineer touches it.
- [Verify every change with Claude Code, Cursor, and GitHub](https://docs.stuntdouble.io/guides/codebases): Wire Stunt Double into your coding agent so a persona goes through every preview deployment before merge.
- [Collect comments straight from your site](https://docs.stuntdouble.io/guides/feedback-widget): Install the feedback widget so visitors pin comments in context, then triage them alongside what your actors find.
- [Continuous validation: brand, compliance, continuity, design system](https://docs.stuntdouble.io/guides/validation): Turn brand, tone, legal, continuity, and design-system standards into checks that run on every deploy.
- [Stunt Double API documentation](https://docs.stuntdouble.io/api): developer portal: the MCP server, authentication and scopes, versioning and rate limits.
- [Stunt Double MCP server reference](https://docs.stuntdouble.io/api/mcp): connect a client to https://app.stuntdouble.io/api/mcp, with the full tool and prompt list.
- [Stunt Double OpenAPI spec](https://www.stuntdouble.io/openapi.json): OpenAPI 3.1 for the public endpoints and the MCP entry point, with OAuth scopes.
- [auth.md](https://www.stuntdouble.io/auth.md): how an agent registers, gets a token and uses it, in one document.
- [Agent Skills index](https://www.stuntdouble.io/.well-known/agent-skills/index.json): a SKILL.md an agent can install to use Stunt Double well, with its SHA-256 digest.
- [Stunt Double Claude plugin](https://claude.ai/customize/plugins/id/9cd49c97-13c2-4844-bc3d-53ef7956c1ef%40anthropic-plugin-directory): the official listing in Claude's plugin directory: the hosted MCP server plus task skills, installed in one step.
- [Stunt Double skills and plugin](https://github.com/stunt-double/stuntdouble-mcp): task skills (`npx skills add stunt-double/stuntdouble-mcp`), the Claude Code and Cursor plugins, and the MCP Registry entry `io.stuntdouble/mcp-server`.
- [API catalog](https://www.stuntdouble.io/.well-known/api-catalog): RFC 9727 linkset of every API with its description, docs and health check.
- [Stunt Double API versioning and deprecation policy](https://docs.stuntdouble.io/api#versioning-and-deprecation): semantic versioning, `Deprecation` (RFC 9745) and `Sunset` (RFC 8594) headers, and at least 90 days notice in the changelog before anything is removed.
- [OAuth 2.1 authorization server metadata](https://app.stuntdouble.io/.well-known/oauth-authorization-server): RFC 8414 metadata: endpoints, PKCE, dynamic client registration and `scopes_supported`.
- [OAuth protected resource metadata](https://app.stuntdouble.io/.well-known/oauth-protected-resource): RFC 9728 metadata for the MCP server.
- [MCP manifest](https://www.stuntdouble.io/.well-known/mcp.json): transports, authentication, scopes and tool list.
- [Public docs MCP server](https://www.stuntdouble.io/.well-known/mcp): no sign-in needed: POST a JSON-RPC `initialize`, then `resources/list` and `resources/read` for these documents.
- [MCP server card](https://www.stuntdouble.io/.well-known/mcp/server-card.json): server-card.schema.json card for the public docs MCP server, with its Streamable HTTP remote.
- [AI Catalog](https://www.stuntdouble.io/.well-known/ai-catalog.json): both MCP servers (the product server and the public docs server), each with the server card on its own host.
- [Public docs agent (A2A)](https://www.stuntdouble.io/.well-known/agent-card.json): no sign-in needed: the Agent Card for an A2A agent at `https://www.stuntdouble.io/api/a2a` that answers questions from these documents.

## Company and help

- [Design](https://www.stuntdouble.io/design): How we design Stunt Double, and how product design changes when some users are agents.
- [Brand](https://www.stuntdouble.io/brand): Logo files, motion, video and drawings, the words to use about us, and the rules for our mark beside a partner’s.
- [Resources](https://www.stuntdouble.io/resources): The quickstart, tutorials, guides, the API and MCP docs and the live demo, in one place.
- [Help center](https://www.stuntdouble.io/support): Documentation, tutorials, answers to common questions and a direct line to the team.
- [Contact](https://www.stuntdouble.io/contact): Send us a message, with links to status and documentation.
- [Feedback](https://www.stuntdouble.io/feedback): Share feedback, report a bug or request a feature.
- [Investors](https://www.stuntdouble.io/investors): Fundraising status and how to register interest in future rounds.
- [Security](https://www.stuntdouble.io/security): Our security approach and compliance posture, how to get our security documents and how to report a vulnerability.
- [Privacy policy](https://www.stuntdouble.io/privacy): How we collect, use and protect personal data.
- [Terms of service](https://www.stuntdouble.io/terms): The terms that govern use of Stunt Double.

## For agents

- [llms.txt](https://www.stuntdouble.io/llms.txt): The short map of this site, with guidance for agents.
- [Sitemap](https://www.stuntdouble.io/sitemap.xml): Every indexable URL on this site.
- [agents.md](https://www.stuntdouble.io/.well-known/agents.md): Instructions for agents using Stunt Double.

## Elsewhere

- [Stunt Double Index](https://index.stuntdouble.io): Public benchmark of how AI agents experience real websites, with a scorecard per domain; every ranked domain in one file at https://index.stuntdouble.io/llms-full.txt.
- [Status](https://status.stuntdouble.io): Service status.