Shelfglance

Agent endpoint

What an agent sees at furnitureplaceusa.com

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

ProductPriceCategorySKU
Altari Sofa $462.42 set fr-22 8721338
Lilyberg Table (Set of 3) $287.47 set na T389-13
Havalance Sofa/Console Table $312.21 set fr-24-1-3 T814-5
Sturlayne Flip Top Sofa Table $376.52 set fr-24-1-3 T609-4
Loyaska Sofa Table $349.30 set fr-24-1-3 T789-4
High Profile Sofa $703.17 set na 5990238
Dallenburg Accent Table $209.13 set na A4000717
Treasure Trove Sofa $926.62 set fr-22 1930438
Mahoney Sofa $424.49 set fr-22 3100538
Johnelle Sofa Table $388.06 set fr-24-1-3 T776-4

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.