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Daytona - Secure Infrastructure for Running AI-Generated Code
daytona.io
57 / 100
Deploy Al code with confidence using Daytona
Scanned 3h ago · 7 views · Open site
Checks
- HTTPS5/5
Served over HTTPS.
- llms.txt12/12
Found /llms.txt (209395 chars).
- Agent manifest0/15
No /.well-known/ai-agent.json.
Fix: Publish https://daytona.io/.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://daytona.io/.well-known/agent-card.json with name, url, and 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 spec12/12
Valid OpenAPI/Swagger document.
- Named capabilities8/8
196 named capabilities (194 with descriptions).
- I/O schemas8/8
Found 181 schema signals.
- 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.
4 checks short of a perfect 100. The fix lines above are the report — what to publish, at which path.
Paid extras
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