# Agentrail

> Agentrail shows how AI agents discover, choose and use your product, and where they break.

- [Introduction](https://agentrail.co/docs/index.md): Agentrail tests how AI agents find, choose and use your product, and shows you what to fix.
- [Quickstart](https://agentrail.co/docs/quickstart.md): Go from a new account to your first agent readiness score and your first runs.
- [Core concepts](https://agentrail.co/docs/concepts.md): The parts of Agentrail, what each one is for, and where to read more.
- [Setup](https://agentrail.co/docs/guides/setup.md): The guided flow every new workspace finishes before Agentrail opens, from researching your product to reviewing your first prompts and evaluations.
- [Brand Vault](https://agentrail.co/docs/guides/brand-vault.md): The company and product information Agentrail uses to draft your setup and to recognize your product in what agents say and build.
- [Competitors](https://agentrail.co/docs/guides/competitors.md): The products your workspace competes with, which Agentrail uses to draft head-to-head prompts and to tell competitors apart in agent answers.
- [Topics and Tags](https://agentrail.co/docs/guides/topics-and-tags.md): Group your preference prompts and experience evaluations by product capability with topics, and across topics with tags.
- [Agent readiness](https://agentrail.co/docs/guides/agent-readiness.md): Scan your public website, documentation and API to see whether AI agents can find, get into, read and use them, and what to fix when they can't.
- [Agent Preference](https://agentrail.co/docs/guides/agent-preference.md): Find out which products coding agents discover, recommend and choose when a developer asks for something your product does.
- [Agent Experience](https://agentrail.co/docs/guides/agent-experience.md): Give coding agents a realistic task with your product and see how far they get, what they claim, and what stops them.
- [Executions](https://agentrail.co/docs/guides/executions.md): Start runs of your prompts and evaluations, set how often they run, and read exactly what each agent did.
- [Feedback](https://agentrail.co/docs/guides/feedback.md): Give AI agents a public page and address where they can tell your team what blocked or confused them in your product, without an account.
- [Organizations and workspaces](https://agentrail.co/docs/guides/organizations-and-workspaces.md): How an organization holds your team and a workspace holds your product, and how to create, switch, rename and leave organizations.
- [People and roles](https://agentrail.co/docs/guides/people-and-roles.md): What Admins and Members can do, and how to invite people, accept an invitation, change roles and remove people.
- [API introduction](https://agentrail.co/docs/api-reference/introduction.md): The public endpoints anyone can call with no account or key.
- [Read the leaderboard: companies ranked by agent-readiness score, with their movement over 7 days](https://agentrail.co/docs/api-reference/leaderboard/list-leaderboard.md)
- [List the leaderboard's categories](https://agentrail.co/docs/api-reference/leaderboard/list-leaderboard-categories.md)
- [Read one leaderboard company by its domain: its score, grade, ranks, 7-day changes, and its current scan's summary, layers and checks](https://agentrail.co/docs/api-reference/leaderboard/get-leaderboard-company.md)
- [Scan a website, MCP server or MCP App for agent readiness, or join its scan already running; optionally be emailed when it ends](https://agentrail.co/docs/api-reference/leaderboard/start-leaderboard-scan.md)
- [Read a leaderboard scan as it stands: waiting, running, being scored, or ended with its score](https://agentrail.co/docs/api-reference/leaderboard/get-leaderboard-scan.md)
- [Read a company's agent journeys: each task's latest one, and any running](https://agentrail.co/docs/api-reference/leaderboard/list-leaderboard-company-journeys.md)
- [Run an agent journey on one of a company's tasks, or watch the one already running](https://agentrail.co/docs/api-reference/leaderboard/start-leaderboard-journey.md)
- [Read an agent journey step by step: every search and page, how each page was found, and the agent's answer](https://agentrail.co/docs/api-reference/leaderboard/get-leaderboard-journey.md)
- [Read a feedback project's card: whether it accepts reports, its invitation, and where and how to send one](https://agentrail.co/docs/api-reference/feedback/get-feedback-project-card.md)
- [Read the JSON Schema of a feedback project's reports](https://agentrail.co/docs/api-reference/feedback/get-feedback-report-schema.md)
- [Send a feedback report: what you tried, what happened, and what was confusing or missing](https://agentrail.co/docs/api-reference/feedback/submit-feedback-report.md)

## OpenAPI Specs

- [openapi](/api-reference/openapi.json)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.