# Webflow: -35 point Door Gap
- Site: webflow.com
- Scanned: 2026-09-03
- Scan type: Basic scan
- Business type: b2b_saas
- Report: https://www.seconddoor.io/r/webflow-mtyg5w
- Scanner version: 9
Webflow publishes prices and welcomes agents to browse, but requires a human to obtain API credentials and offers no machine readable specification for integration.
## Scores
| Measure | Score |
| --- | --- |
| Humans | 0/100 |
| Agents | 35/100 |
| Composite | 18/100 |
| Door Gap | -35 points |
The human score is the mean of the four human dimensions, the agent score the mean of the six agent dimensions, and the Door Gap the difference between them.
## What the machine actually did
The agent got through 12 of 15 requests, but could not find a published agent interface. It came up empty on 2 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
- ok      find a contact route for machines
- missing find a published agent interface
- ok      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
- ok      read the developer documentation
- ok      read the prices without running JavaScript
- ok      find a comparison page worth citing
- ok      walk the way a visitor would, to a signup form or a product
## Top issues
1. **No MCP manifest was found at the 1 standard path checked, so an agent has no published machine door to this site.** (agent_aware_instrumentation)
2. **No OpenAPI specification is published, forcing agents to write API clients by hand from prose documentation.** (programmatic_onboarding)
The evidence and the recommended fix for each are on the report page: https://www.seconddoor.io/r/webflow-mtyg5w
## 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.
- **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.
- **pricing.md** at `/pricing.md`, 20 minutes, no developer needed. Verify: The next scan fetches /pricing.md as text and records pricing as machine readable.
- **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/webflow-mtyg5w
## The agent door
- **machine_discoverability** 95/100. No AI crawler is blocked by user agent rules, a real browser is served the page normally, and the sitemap lists 6510 URLs across 2 child sitemaps. The homepage carries 19 schema.org types including SoftwareApplication and Organization.
- **programmatic_onboarding** 24/100. Authentication is documented in prose at developers.webflow.com with code samples provided, but no OpenAPI spec exists at any of the 5 standard paths checked. An agent can read how to authenticate but must write a client by hand from text.
- **pricing_legibility** 35/100. Ten prices appear in the homepage HTML itself, ranging from $4 to $200, making the cost structure machine readable without JavaScript. However, the prices lack structured data attributes for currency, availability or product identifier, so.
- **agent_aware_instrumentation** 8/100. No MCP manifest is published at /mcp.json or any other standard path. No ai-plugin.json, llms.txt or Web Bot Auth signals are present. The site offers no machine readable way for an agent to discover what it can do or how to invoke it.
- **machine_fetchable_trust** 40/100. No security.txt, the homepage answers automated requests.
- **commercial_rails** 10/100. Prices are published on the homepage in plain HTML. No pricing.md, OAuth authorization metadata, or self-serve API key issuance is offered. An agent can read the cost but cannot proceed to purchase or credential issuance without a human.
## 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.
---
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