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Basic scanUnclassified · Marketing site/Scanned 8 Sept 2026, 14:32 UTC/1 browser pass
A subscription pet food service blocks machine pricing discovery behind JavaScript rendering, forcing agents to complete signup before understanding cost.
Older scan
This report was produced by an earlier version of the scanner. Some findings may not match how the site is measured now.
Wide. Agents are dropping out well before humans do.
Ordered by what the evidence says is costing most. Written for whoever owns the site, not whoever builds it.
1 piece of evidence and the recommended fix are recorded for this issue, with pricing page written from your own pages.
This is a basic scan, so it raises the three issues the deterministic evidence supports. A deep scan sends two agents over the site and raises up to ten, each with cited evidence and the screens to prove it.
A deep scan walks the site with two agents, records cited evidence and screenshots, and keeps a mission timeline. It comes with the paid plans. Making an account costs nothing and gives you one basic scan a month.
The score and the audit trail stay public. The evidence and the files open with an account.
The audit trail behind every number above. Not measured is not zero.
Machine discoverability
The site publishes llms.txt and allows all declared AI crawlers by user agent, but key content including pricing appears only after JavaScript runs. No sitemap or schema.org markup exists on the homepage.
4 observations recorded.
Programmatic onboarding
No API documentation is linked from the homepage or published at standard paths. No OpenAPI spec exists at any of the 6 checked locations. The signup form is HTML-based only, with no programmatic alternative for agents to complete.
3 observations recorded.
Pricing legibility
Prices appear only after JavaScript executes. The raw HTML contains zero prices; the rendered page shows 1 price ($50). A client that does not render pages sees no pricing at all, making cost discovery impossible for non-browser agents.
1 observation recorded.
Agent-aware instrumentation
No MCP manifest is published at any of the 3 standard paths checked. No ai-plugin.json or Web Bot Auth signals exist. The site has no machine-readable way for agents to understand what actions are available.
4 observations recorded.
Machine-fetchable trust
No security.txt file is published at /.well-known/security.txt. The homepage responds to automated requests, but no trust signals or security contact information are machine-readable.
2 observations recorded.
Commercial rails
A self serve signup form is reachable from the homepage.
2 observations recorded.
Steps to first value
The primary call to action, '30% off your first box. Get started.', reaches a signup form in 2 steps from the homepage. The form itself is the entry point to the service, placing first value access very close to initial landing.
1 observation recorded.
Required fields
The signup form contains 6 fields with 0 marked as required. A visitor can proceed through the form without filling any mandatory information, removing friction from initial entry.
1 observation recorded.
Verification walls
No verification requirement appears on the signup page itself. The form accepts entry with no email confirmation, phone verification, or identity checks visible before submission.
1 observation recorded.
Error recovery
1 of 6 form inputs carries validation rules. The page has 4 inline error containers in the markup, providing structure for error messages. Recovery paths exist but are sparsely implemented across the form.
1 observation recorded.
It got through 5 of 14.
The agent got through 5 of 14 requests, but could not find out what pages exist. It came up empty on 8 other checks too. That is enough missing for a machine to give up before it reaches a purchase.