Shelfglance

Agent endpoint

What an agent sees at furniturecity.com

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

ProductPriceCategorySKU
Tepic Sofa, Brown $862.00 not set TM6012BR-SF
Onoria Sofa, Brown $1,036.00 not set FM69008BR-SF-M
Franklin Sofa, Dark Brown $1,238.00 not set SM6106N-SF
Calnita Sectional with Chaise $1,568.04 set fr-4-10 20502S1
Diva Black Large Vanity Table + Mirror with Storage and Bluetooth By Furniture City $1,499.00 not set VT002-Black
Asanti Sofa $972.70 set fr-22 1320138
Diva Black Diamond Large Vanity Table + Mirror with Storage and Bluetooth By Furniture City $1,549.00 not set VT012 Black
Franklin Sofa, Burgundy $1,238.00 not set SM6107N-SF
Camellia-Court Sectional with Chaise $1,619.70 set fr-4-10 68207S6
Harstad Sofa $1,698.00 not set CM9983LB-SF

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 3 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.