Shelfglance

Agent endpoint

What an agent sees at berserker-coffee.com

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

ProductPriceCategorySKU
Berserker Coffee €20.99 set fb-1-3-1 C-001-0001-01
Thors Hammer Espresso €20.99 set fb-1-3-1 C-001-0008-01
Allfather Blend €20.99 set fb-1-3-1 C-001-0002-01
Entdecker Paket €62.97 set fb-1-3-1 B-001-0038-01
Berserker Coffee Kapseln €14.99 set fb-1-3-2 C-006-0001
Freyas Blend €20.99 set fb-1-3-1 C-001-0009-01
Berserker Coffee Bundle €49.99 set fb-1-3-1 B-001-0018
Berserker Coffee Dripbags €19.99 set fb-1-3-2 C-005-0001-01
Fenrir Espresso €20.99 set fb-1-3-1 C-001-0031-01
Cold Brew Starter Bundle €89.99 set fb-1-3 B-001-0024-01

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 10 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.