# Ka'Chava: agent door 66, human door not measured
- Site: kachava.com
- Scanned: 2026-09-11
- Scan type: Basic scan
- Business type: ecommerce
- Report: https://www.seconddoor.io/r/kachava-6dv9jd
- Scanner version: 54
- Scanner release: 2cdef4a
- Scoring methodology: 1
- Evidence schema: 1
0 human and 6 agent dimensions measured from the pages checked; remaining dimensions are not scored.
## Scores
| Measure | Score |
| --- | --- |
| Humans | not measured |
| Agents | 66/100 (6/6 dimensions) |
| Composite | 66/100 |
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 scanner recorded successful observations for 10 of 18 checks, but could not read the site's own guide for language models. It came up empty on 7 other checks too.
- 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
- 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 an MCP manifest at the standard paths checked
- 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
- ok      read the product catalogue as data
- ok      read a product page as data
- ok      read the returns and shipping terms
- ok      discover storefront agent checkout rails
- missing walk the way a visitor would, to a signup form or a product
## Top issues
1. **The checked /products.json endpoint did not provide a catalogue, and no product sitemap was identified.** (machine_discoverability)
   - Evidence: /products.json answered HTTP 404 at the checked endpoint.
   - Evidence: Checked URL: https://www.kachava.com
   - Fix: Check whether your storefront supports a public catalogue endpoint, or publish a product sitemap and declare it in robots.txt.
2. **No valid security.txt was identified at /.well-known/security.txt.** (machine_fetchable_trust)
3. **No valid llms.txt was identified at the site root.** (machine_discoverability)
The evidence and the recommended fix for the rest are on the report page: https://www.seconddoor.io/r/kachava-6dv9jd
## Files generated from this scan
- **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.
- **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/kachava-6dv9jd
## The agent door
- **machine_discoverability** 100/100. No restriction on the tested crawler names was found in robots.txt. On its first visit, our browser read the homepage. No user agent rule refused the tested retrieval crawler names.
- **programmatic_onboarding** 30/100. No general API documentation or OpenAPI specification was identified through the paths checked. A storefront MCP endpoint answered the tested tools/list discovery request; authentication and use were not tested.
- **pricing_legibility** 80/100. Product-associated price evidence was identified in the HTTP responses from the 2 product pages checked. Product structured data publishes price and currency, so an agent can parse cost without scraping. Availability is published too.
- **agent_aware_instrumentation** 43/100. No MCP manifest was identified at the discovery paths checked. A Universal Commerce Protocol manifest is published. A storefront MCP endpoint answered the tested tools/list request.
- **machine_fetchable_trust** 67/100. No security.txt was identified at the checked path. The returns policy reads as text. The return policy is published in structured data. Shipping terms are published in structured data. The homepage answers automated requests.
- **commercial_rails** 74/100. Product markup carries price and currency. A Shopify storefront; product identifier and brand coverage were checked. The return policy is in structured data. An aggregate rating is in the product markup. Review text is in the server HTML.
## The human door
- **steps_to_first_value** not measured. Not measured: our scanner could not identify the required evidence on the pages checked.
- **required_fields** not measured. Not measured: this scan did not reach the page or action needed to verify it.
- **verification_walls** not measured. Not measured: this read-only scan did not submit the form or perform the action needed to test this behavior.
- **error_recovery** not measured. Not measured: this read-only scan did not submit the form or perform the action needed to test this behavior.
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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