Shelfglance

Agent endpoint

What an agent sees at magnolia.com

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

ProductPriceCategorySKU
Magnolia Leaf Spray $28.00 set na XG23144A
Magnolia Daybreak Candle $30.00 set na DBC9OZ2022
Magnolia Spray $19.00 set na C-MM-53632
Vintage Magnolia Logo Shirt $32.00 set na VINTGMAG-S
Adobe Essential Tassel Throw $108.00 set na ADTASSELTHRW
Magnolia Linen Candle $30.00 set na LNC9OZ2022
Magnolia Fresh Start Candle $30.00 set na FHSC9OZ2022
Magnolia Cora Script Shirt $32.00 set na MAGCORASHIRT-S
Pace Forrest Natural Rug $89.00 set na PACEPAC-06FONA233A
Magnolia Greenhouse Candle $30.00 set na GHC9OZ2022

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.