Agent Readiness Index
Teamclu Agent Readiness Score
Partially Agent-Ready · Grade D · Scanned August 12, 2026
群策 — AI Agent 团队协作平台，基于 OpenCode，多渠道接入、团队知识共享、Skills 协作，提供个人版/企业版/定制版，支持 Windows/macOS/Linux 全平台。
Discoverability
Can an AI agent find sitemaps, llms.txt, and machine-readable entry points?
Content
Can agents consume content cheaply via markdown, schema.org, and structured data?
Access Control
Are crawl rules and AI bot permissions declared in robots.txt?
Capabilities
Does the site expose APIs, MCP endpoints, or agent-usable tools?
Commerce
Can agents discover pricing and initiate payments (x402, MPP, UCP)?
Quality
Performance, token efficiency, and trust signals beyond baseline checks.
Content (28/100)
Improve content signals: llms.txt, robots.txt AI rules, structured data, MCP or OpenAPI endpoints, and agent-readable pricing where relevant.
Quality (30/100)
Improve quality signals: llms.txt, robots.txt AI rules, structured data, MCP or OpenAPI endpoints, and agent-readable pricing where relevant.
Commerce (50/100)
Improve commerce signals: llms.txt, robots.txt AI rules, structured data, MCP or OpenAPI endpoints, and agent-readable pricing where relevant.
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.
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