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Agent Readiness Index

Lusha

Moderately Agent-Ready · Grade B · Scanned June 24, 2026

B2B contact data platform for sales and marketing professionals to find and engage leads.

Enterprise
Sales
$245M raised
358 employees
Boston, United States
74
/ 100
Grade B
This site blocked our scanner (bot challenge or WAF). Scores may under-report HTML-derived signals like schema.org and content negotiation.
Six-dimension breakdown

Discoverability

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

49

Content

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

5

Access Control

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

70

Capabilities

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

59

Commerce

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

40

Quality

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

100
Priority fixes

Content (5/100)

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

Commerce (40/100)

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

Discoverability (49/100)

Improve discoverability 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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