Ai365lab logo

Agent Readiness Index

Ai365lab Agent Readiness Score

Partially Agent-Ready · Grade D · Scanned August 8, 2026

AI 활용법, 업무 자동화, AI 도구, AI 부업과 수익화 방법을 쉽고 실전적으로 소개합니다. AI365Lab에서 최신 AI 트렌드와 유용한 정보를 배우고, AI를 활용해 일과 사업의 효율을 높이며 새로운 수익 기회를 찾아보세요. 초보자도 쉽게 따라 할 수 있는 실용적인 AI 가이드와 활용 정보를 제공합니다.

41
/ 100
Grade D
Six-dimension breakdown

Discoverability

Can an AI agent find sitemaps, llms.txt, and machine-readable entry points?

100

Content

Can agents consume content cheaply via markdown, schema.org, and structured data?

43

Access Control

Are crawl rules and AI bot permissions declared in robots.txt?

40

Capabilities

Does the site expose APIs, MCP endpoints, or agent-usable tools?

27

Commerce

Can agents discover pricing and initiate payments (x402, MPP, UCP)?

33

Quality

Performance, token efficiency, and trust signals beyond baseline checks.

36
Priority fixes

Capabilities (27/100)

Improve capabilities signals: llms.txt, robots.txt AI rules, structured data, MCP or OpenAPI endpoints, and agent-readable pricing where relevant.

Commerce (33/100)

Improve commerce signals: llms.txt, robots.txt AI rules, structured data, MCP or OpenAPI endpoints, and agent-readable pricing where relevant.

Quality (36/100)

Improve quality signals: llms.txt, robots.txt AI rules, structured data, MCP or OpenAPI endpoints, and agent-readable pricing where relevant.

Run live scan with fix prompts
How we score

StartupHub audits the full website across 50+ checks: discoverability, content negotiation, access control, capabilities (API/MCP), commerce (x402/MPP), and quality.

Unlike pricing-only indexes, we measure whether AI agents can find, read, and act on the entire site, not just the pricing page.

Compare on leaderboard