AgentReady

Can an AI agent actually use your website? We measured.

AgentReady runs real agents against real task flows — once through the raw UI, once through WebMCP tools — and scores every site 0–100. The gap between those two numbers is the case for the agent-native web.

Benchmark average today: 49/100. Sites exposing WebMCP tools average 100/100.

Checking for WebMCP API…
0255075100

Every audited site, placed by readiness score. UI only exposes WebMCP our live demo store

SiteCategoryScoreAgent success (UI)Agent success (WebMCP)
AgentReady Outfitters (live demo store) demo1000%100%detail
Harbor & Page Books sample databooks10060%100%detail
Tidepool Toys sample datatoys10040%100%detail
Kiln & Oak Home sample datahome-goods9960%100%detail
Loopset Fitness sample datafitness5560%no toolsdetail
Stitchport Apparel sample datafashion5260%no toolsdetail
Plumecraft Stationery sample datastationery5260%no toolsdetail
Saffron Basket Foods sample datagrocery4860%no toolsdetail
Gridlamp Lighting sample datahome-goods3640%no toolsdetail
Northline Electronics sample dataelectronics2220%no toolsdetail
Cartwheel Grocery sample datagrocery1920%no toolsdetail
Monsoon Threads sample datafashion1920%no toolsdetail
Veltro Motor Parts sample dataauto-parts1820%no toolsdetail
Brightfare Pharmacy sample datapharmacy1720%no toolsdetail
Fernway Travel sample datatravel00%no toolsdetail

Rows marked sample data are illustrative fixtures shipped with the open-source repo so the methodology is inspectable — they are not measurements of real companies. The demo store rows are live, reproducible runs.

Readiness report

Ask your agent to draft a report here (draft_readiness_report). It lands in this editor; you refine it; the agent can read your edits back (get_report_draft) and revise. Same document, two authors.

Agent activity on this page

Every WebMCP tool call is logged by the AgentReady SDK — this is the analytics layer working on its own dashboard.

— no agent activity yet —