# Brooklinen: agent door 46, human door not measured
- Site: brooklinen.com
- Scanned: 2026-09-08
- Scan type: Basic scan
- Business type: unknown
- Report: https://www.seconddoor.io/r/brooklinen-fa2s2p
- Scanner version: 12
A Shopify storefront with agent checkout capability but no API documentation, leaving programmatic buyers without a path to integrate.
## Scores
| Measure | Score |
| --- | --- |
| Humans | not measured |
| Agents | 46/100 |
| Composite | 46/100 |
Agent door only. The human door could not be measured on this scan. A Door Gap needs both doors, so this scan does not report one.
## What the machine actually did
The agent got through 9 of 16 requests, but could not find a contact route for machines. It came up empty on 6 other checks too. That is enough missing for a machine to give up before it reaches a purchase.
- ok      reach the site at all
- ok      find out whether machines are welcome
- ok      ask whether the door opens for requests carrying the AI crawlers' names
- ok      read the site's own guide for language models
- ok      find out what pages exist
- missing find a contact route for machines
- missing find a published agent interface
- missing find an agent plugin manifest
- missing find out whether verified agents are recognised
- missing read the homepage as data rather than as a page
- missing find a machine readable API spec
- missing read the developer documentation
- ok      read the prices without running JavaScript
- ok      read the product catalogue as data
- ok      read a product page as data
- ok      read the returns and shipping terms
## Top issues
1. **No developer documentation is linked from the homepage, in raw HTML or the rendered page, so integration starts with a search engine.** (programmatic_onboarding)
2. **No security.txt is published, leaving no standard channel for agents or researchers to report security issues.** (machine_fetchable_trust)
3. **No API documentation exists, blocking developers from building integrations or automating purchases programmatically.** (programmatic_onboarding)
The evidence and the recommended fix for each are on the report page: https://www.seconddoor.io/r/brooklinen-fa2s2p
## Files generated from this scan
- **robots.txt rules for AI crawlers** at `/robots.txt`, 10 minutes, no developer needed. Verify: The next scan reads robots.txt and finds every search and agent crawler allowed, none of them kept off product or pricing paths.
- **Return policy and shipping structured data** at `product page`, 30 minutes, developer. Verify: The next scan reads a MerchantReturnPolicy on the product pages, and OfferShippingDetails when the shipping node was published.
- **Link the policy pages from the product page** at `notes`, 30 minutes, no developer needed. Verify: The next scan finds the returns and shipping policy pages linked from a product page.
- **Variants missing a GTIN or a brand** at `catalog-identifiers.csv`, 5 minutes, no developer needed. Verify: The next scan reads the catalogue feed and finds a valid GTIN on at least nine in ten variants and a brand on at least nine in ten products.
- **Organization structured data** at `homepage`, 15 minutes, developer. Verify: The next scan reads Organization and WebSite nodes in the homepage JSON-LD and the structured data check passes.
- **Machine interfaces: where you stand** at `notes`, 10 minutes, no developer needed. Verify: The next scan finds the interface you published answering at its well-known path, and that check passes.
- **security.txt** at `/.well-known/security.txt`, 10 minutes, no developer needed. Verify: The next scan fetches /.well-known/security.txt as text and the security.txt check passes.
Each file is written from what this scan found on the site. The content is in the JSON once the evidence is opened: https://www.seconddoor.io/api/reports/brooklinen-fa2s2p
## The agent door
- **machine_discoverability** 99/100. No AI crawler is blocked by robots.txt or user agent rules; the site serves a real browser normally and publishes llms.txt. The sitemap lists 256 URLs including products, and /products.json exposes 12 products as machine-readable data.
- **programmatic_onboarding** 10/100. No API documentation is linked from the homepage or discoverable in raw HTML. The site publishes no OpenAPI spec, developer guide, or integration endpoint for programmatic access. A developer cannot onboard without contacting sales.
- **pricing_legibility** 45/100. Prices are in the raw HTML of the 3 product pages read, 25 prices on the homepage itself, no Product structured data within the first 1.2 MB read of each product page.
- **agent_aware_instrumentation** 49/100. A Universal Commerce Protocol manifest at version 2026-08-25 is published with 8 capabilities and 3 payment handlers, and a storefront MCP endpoint answers agent calls. No MCP manifest exists at the 3 standard paths checked.
- **machine_fetchable_trust** 65/100. The returns policy and shipping policy are readable as text at /policies/refund-policy and /policies/shipping-policy, though neither is published in structured data on product pages. No security.txt is published.
- **commercial_rails** 10/100. The site runs on Shopify and publishes a UCP manifest declaring checkout, cart, order, and payment capabilities. No public API documentation exists for programmatic transaction initiation.
## The human door
- **steps_to_first_value** null/100. Could not verify: this scan did not reach the pages that would show it.
- **required_fields** null/100. Could not verify: this scan did not reach the pages that would show it.
- **verification_walls** null/100. Could not verify: this scan did not reach the pages that would show it.
- **error_recovery** null/100. Could not verify: this scan did not reach the pages that would show it.
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Scored by SecondDoor. Method: https://www.seconddoor.io/methodology
Scan another site: https://www.seconddoor.io
Rate an issue or this report: POST https://www.seconddoor.io/api/feedback, or the rate_fix tool on https://www.seconddoor.io/api/mcp