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Agent Readiness Index

MaplePass Agent Readiness Score

Partially Agent-Ready · Grade D · Scanned August 24, 2026

MaplePass is a document preparation service that assists Americans in applying for Canadian citizenship by descent under Bill C-3, offering an AI-guided application builder and document verification.

LegalTech
Immigration Tech
Toronto
55
/ 100
Grade D
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?

20

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)?

57

Quality

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

88
Priority fixes

Content (20/100)

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

Capabilities (27/100)

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

Access Control (40/100)

Improve access control 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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