AI Due Diligence
Was this company built by AI from the ground up? Enter any URL and we'll analyze their website, MCP endpoints, APIs, and AI signals to find out.
Free · 5 assessments per hour · No login required
1
AI Endpoints
2
AI Infra
3
Agent Interop
4
Self-Ref AI
0
What We Test
- Q1 — Live AI Endpoints: How many live API routes does the platform expose? Discovered from /api/docs, OpenAPI spec, and MCP tools.
- Q2 — AI Infrastructure: Does a live MCP protocol handshake succeed? How many tools, federation, trust tiers?
- Q3 — Agent Interoperability: Can AI agents discover this platform via MCP, federation, messaging, and trust tiers?
- Q4 — Self-Referential AI: Are AI development configs reachable? CLAUDE.md, /ai-dd, MCP endpoint present?
Classification Tiers
| Score | Classification | What It Means |
|---|---|---|
| 0–5 | Legacy | No AI engineering detected. Traditional human-built operation. |
| 6–13 | AI-Assisted | Some AI tooling, but fundamentally human-driven. |
| 14–21 | AI-Integrated | Meaningful AI involvement. Mixed human-AI workflow. |
| 22–29 | AI-Native | Built with AI from the ground up. Agentic architecture. |
| 30–40 | Fully Agentic | AI-engineered end-to-end. Autonomous operations. |
API for AI Agents
POST /api/v1/ai-due-diligence
Content-Type: application/json
{"website": "https://example.com"}
# Returns: { total_score, classification, response_time_ms, questions: [...] }
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