# Nike: agent door 39, human door not measured
- Site: nike.com
- Scanned: 2026-09-08
- Scan type: Basic scan
- Business type: ecommerce
- Report: https://www.seconddoor.io/r/nike-u6cmmr
- Scanner version: 16
Nike blocks three major AI crawlers at the network edge despite welcoming them in robots.txt, while product pages remain inaccessible to automated shoppers.
## Scores
| Measure | Score |
| --- | --- |
| Humans | not measured |
| Agents | 39/100 (5/6 dimensions) |
| Composite | 39/100 |
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 8 of 17 requests, but could not ask whether the door opens for requests carrying the AI crawlers' names. It came up empty on 8 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
- missing ask whether the door opens for requests carrying the AI crawlers' names
- missing 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
- ok      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
- missing read the product catalogue as data
- ok      read a product page as data
- ok      read the returns and shipping terms
- ok      walk the way a visitor would, to a signup form or a product
## Top issues
1. **The network edge refuses 3 declared AI crawlers that robots.txt welcomes, so the published policy and the actual behaviour disagree.** (machine_discoverability)
2. **No developer documentation is linked from the homepage, in raw HTML or the rendered page, so integration starts with a search engine.** (programmatic_onboarding)
3. **No API documentation or programmatic interface is published for agents to query products or place orders.** (programmatic_onboarding)
The evidence and the recommended fix for each are on the report page: https://www.seconddoor.io/r/nike-u6cmmr
## Files generated from this scan
- **Let verified assistants through** at `notes`, 1 hour, developer. Verify: The next scan opens the homepage and the key pages in a real browser and under the search crawler names, and every one is served.
- **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.
- **Agent checkout: where you stand** at `notes`, 10 minutes, no developer needed. Verify: The next scan finds a UCP manifest, a storefront MCP endpoint or another discovery file answering, and the checkout 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.
- **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.
- **llms.txt** at `/llms.txt`, 15 minutes, no developer needed. Verify: The next scan fetches /llms.txt as text and the llms.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/nike-u6cmmr
## The agent door
- **machine_discoverability** 75/100. Robots.txt welcomes 14 named AI crawlers including GPT, Claude, Perplexity and Google Extended, and a sitemap lists 113 URLs. The homepage serves structured data with 5 schema.org types.
- **programmatic_onboarding** 10/100. No API documentation is linked from the homepage, no OpenAPI spec exists at any of 6 standard paths, and no MCP manifest was found. The site publishes no programmatic entry point for agents to discover products or place orders.
- **pricing_legibility** 35/100. Eight prices appear in the homepage HTML, but no product pages could be reached to measure their structured pricing data. The homepage shows prices like $8, $1, $2 and $5, but without access to product detail pages, currency consistency.
- **agent_aware_instrumentation** 8/100. No MCP manifest exists at any of the 3 standard paths checked. No ai-plugin.json, Web Bot Auth signals, or UCP manifest were found. The site publishes no machine-readable instructions for agents to follow.
- **machine_fetchable_trust** 65/100. The returns policy and shipping policy both read as plain text at /help/a/returns-policy and /help/a/shipping-delivery, totalling 45,328 and 45,110 characters respectively. Neither policy is published in structured data on product pages.
- **commercial_rails** not measured. Could not verify: this scan did not reach the pages that would show it.
## The human door
- **steps_to_first_value** not measured. Could not verify: this scan did not reach the pages that would show it.
- **required_fields** not measured. Could not verify: this scan did not reach the pages that would show it.
- **verification_walls** not measured. Could not verify: this scan did not reach the pages that would show it.
- **error_recovery** not measured. 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
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