Shelfglance

Agent endpoint

What an agent sees at palaceskateboards.com

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

ProductPriceCategorySKU
BASICALLY A BOARD 8.25 £65.00 set na PLB735-OS
KYLE PRO S44 8.5 £65.00 set na PLB731-OS
LUCAS PRO S44 8.2 £65.00 set na PLB734-OS
CHARLIE PRO S44 8.5 £65.00 set na PLB730-OS
HEITOR PRO S41 8.9 £65.00 not set PLB695-OS
VILLE PRO S44 9 £65.00 set na PLB729-OS
LUCIEN PRO S44 8.25 £65.00 set na PLB732-OS
UNISEX JOGGER BLACK £128.00 not set P27JG030-XS
PALAZZO JERSEY BLACK £108.00 not set P31ES012-S
P-LUX LOAFER BROWN £248.00 not set P31ACC054-UK7

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 6 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.