# 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-sbdtkf
- Scanner version: 15
Nike blocks three major AI crawlers at the network edge despite welcoming them in robots.txt, breaking agent discovery while the storefront lacks product-level pricing markup and any agent checkout.
## 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. **Product pages are not reachable from the homepage or sitemap, so agents cannot read product prices, availability or structured data.** (pricing_legibility)
The evidence and the recommended fix for each are on the report page: https://www.seconddoor.io/r/nike-sbdtkf
## 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-sbdtkf
## The agent door
- **machine_discoverability** 75/100. Nike serves a real browser normally and publishes a sitemap with 113 URLs. The homepage carries 5 schema.org types. However, the network edge refuses gptbot, perplexitybot and oai-searchbot despite robots.txt declaring them welcome.
- **programmatic_onboarding** 10/100. No API documentation is linked from the homepage. No OpenAPI spec exists at any of the 6 standard paths checked. An agent cannot read Nike's product catalogue or checkout flow through any published interface.
- **pricing_legibility** 35/100. Eight prices appear in the homepage HTML, but they are not tied to products. No product pages were reachable from the homepage or sitemap to measure whether product markup carries price, currency or availability.
- **agent_aware_instrumentation** 8/100. No MCP manifest exists at any of the 3 standard paths checked. Nike publishes no machine-readable instructions for how an agent should interact with the storefront. The site offers no agent-aware tooling.
- **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 45,111 characters respectively. No security.txt file is published.
- **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
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