AI Agents

36 / 100

Go from idea to launch with an agent that designs and builds on the canvas. Keep each change editable, with hosting, security, analytics, CMS, and SEO built in.

Scanned 51d ago · 163 views · Open site

Checks

• HTTPS5/5

  Served over HTTPS.

• llms.txt12/12

  Found /llms.txt (5897 chars).

• Agent manifest0/15

  No /.well-known/ai-agent.json.

  Fix: Publish https://framer.com/.well-known/ai-agent.json with name, description, capabilities, contact, auth, and pricing.

• A2A agent card0/12

  No /.well-known/agent-card.json.

  Fix: Publish https://framer.com/.well-known/agent-card.json with name, url, and skills or capabilities.

• MCP endpoint12/12

  Discoverable MCP metadata or endpoint.

• OpenAPI spec0/12

  No OpenAPI or Swagger spec found.

  Fix: Serve /openapi.json (or /swagger.json) with a valid OpenAPI spec, or link it from the homepage.

• Named capabilities0/8

  No named capabilities, skills, or API operations.

  Fix: List named capabilities in the agent manifest, agent card skills, or OpenAPI path summaries.

• I/O schemas0/8

  No I/O schemas.

  Fix: Add components.schemas / requestBody schemas in OpenAPI, or input/output schemas on each skill.

• Machine-readable pricing4/8

  Pricing mentioned in llms.txt, but not as structured data.

  Fix: Add a pricing object to ai-agent.json, or publish /pricing.json with currency and product amounts.

• Auth, contact, rate limits3/8

  Declared: contact.

  Fix: Declare contact, auth, and rateLimit in ai-agent.json (and OpenAPI info.contact / securitySchemes).

7 checks short of a perfect 100. The fix lines above are the report — what to publish, at which path.

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