AI Agents

57 / 100

AI Workforce platform. Hire AI employees, individually or as pre-built teams, that own a role and run the work around the clock inside your existing tools.

Scanned 2h ago · 2 views · Open site

Checks

• HTTPS5/5

  Served over HTTPS.

• llms.txt12/12

  Found /llms.txt (72067 chars).

• Agent manifest0/15

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

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

• A2A agent card12/12

  A2A agent card with skills or capabilities.

• MCP endpoint0/12

  No MCP document or endpoint found.

  Fix: Publish /.well-known/mcp.json (or an MCP resource metadata document) pointing at your MCP server.

• OpenAPI spec8/12

  An OpenAPI-like file was found, but it did not fully parse as a spec.

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

• Named capabilities8/8

  7 named capabilities (7 with descriptions).

• 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 limits8/8

  Contact, auth, and rate limits declared.

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

How scoring works · Recently graded · Back to the board