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Agent Readiness Index

Getwear

Not Agent-Ready Yet · Grade F · Scanned May 17, 2026

The AI stylist that dresses you from the wardrobe you already own. Daily styling, brand discovery, and wardrobe analytics. Join the closed beta, Spring 2026.

Fashion Tech
AI Stylist
10 employees
United Kingdom
23
/ 100
Grade F
Six-dimension breakdown

Discoverability

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

6

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?

40

Capabilities

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

26

Commerce

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

33

Quality

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

20
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.

Discoverability (6/100)

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

Quality (20/100)

Improve quality 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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