Shelfglance

Agent endpoint

What an agent sees at thefloralsociety.com

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

ProductPriceCategorySKU
18" Original Dipped Taper Candles $21.00 set hg-3-40-2 R TPAP18
Ceramic Flower Frog Bowl Vase $116.00 set na R CFB01
Essential Oil Incense $30.00 set hg-3-40-4 R ICP01
Ceramic Ikebana Vase $78.00 set hg-3-67 R IVWH01
12" Original Dipped Taper Candles $19.00 set hg-3-40-2 R TPA12
Root Propagation Vase $60.00 set hg-3-67 R GLPRV01
Ceramic Flower Frog Vase $34.00 set hg-3-67 R CFV01
Botanical Blend Edible Flowers $25.00 set na R EDFLWRBB
Ceramic Oval Flower Frog $40.00 set na R OFF01
The Floral Society Embroidered Hats $42.00 set na R FLORALDEPTHAT

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.