Shelfglance

Agent endpoint

What an agent sees at berghaus.com

Searching berghaus.com for berghaus the way a shopping agent would returned 10 products. This is what it received.

ProductPriceCategorySKU
Unisex Volcanism Down Jacket - Black £300.00 set na 4A002220BP6XS
Men's Wayside Short - Black £50.00 set na 4A001791BP6XS
Unisex Meru Mountain Gore-Tex Jacket - Red/Blue £238.00 set na 4A002434MK8XS
Men's Expeditor Ridge 2.0 - Black/Red £123.75 not set 422197B597
Unisex 1997 Fleece Jacket - Blue/Red £75.00 set na 4A002433MK9XS
Men's Deluge Pro 3.0 Waterproof Jacket - Grey £120.00 not set 4A001729009XS
Men's Wavertree Shorts - Light Grey £55.00 set na 4A000115007XS
Men's Wayside Short - Grey £50.00 set na 4A001791CZ8XS
Men's Deluge Pro 3.0 Jacket - Dark Green £120.00 not set 4A001729004XS
Unisex 1997 Fleece Jacket - Brown/Grey £120.00 set na 4A002433MK6XS

Price, title, description and URL are Shopify’s doing and are filled in for you. Category and SKU are yours, set per product in your admin. Here 7 of 10 carried a category and 10 of 10 carried a SKU.

Read another one

Leave the search term blank and we use the store name. Any Shopify store, not just your own.

What you are looking at

Your store answers AI shopping agents at /api/ucp/mcp, speaking the Universal Commerce Protocol. Shopify switched it on; it is not in your admin and nothing in your theme controls it. We sent it the same search_catalog request an agent would and put the answer in a table. The long version, with what we found across sixty stores, explains why the two columns on the right are the only ones you can change.

This is not a score and nothing here is a fault. If you want the graded version — whether your pages can be read, not just your endpoint — the scan covers that.