Shelfglance

Agent endpoint

What an agent sees at amazfit.com

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

ProductPriceCategorySKU
Amazfit GTR Mini $119.99 set el W2174US1N
Amazfit Cheetah Square $229.99 set el none
Amazfit GTS 4 $199.99 set el W2168OV1N
Amazfit Active $149.99 set el W2211US7N
Amazfit Balance $229.99 set el W2287GL1N
Amazfit Bip 5 $89.99 set el W2215US3N
Amazfit GTS 4 Mini $99.99 set el W2176OV1N
Amazfit GTR 3 Pro $149.99 set el W2040OV2N
Amazfit GTR 4 Limited Edition $229.00 not set none
Amazfit Cheetah Pro $299.99 not set W2292TY1N

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 8 of 10 carried a category and 8 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.