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Agent Readiness Index

Humind AI Israel

Not Agent-Ready Yet · Grade F · Scanned May 22, 2026

HumindAI enhances business operations with AI-powered workflows, reducing expenses and optimizing efficiency.

Workflow Automation
Business Process Automation
15 employees
Tel Aviv, Israel
22
/ 100
Grade F
Six-dimension breakdown

Discoverability

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

91

Content

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

28

Access Control

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

52

Capabilities

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

79

Commerce

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

50

Quality

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

49
Priority fixes

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 (49/100)

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.

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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.

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