Shelfglance

Agent endpoint

What an agent sees at ellementry.com

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

ProductPriceCategorySKU
Ceramic Butter Dish Stripes With wooden Lid - Blush ₹1,090.00 set na SWTEA1737
Dew Water Dispenser With Wooden Stand - 3 Ltr ₹2,552.00 set na GSTEA3998
Swirl & Grind Mortar and Pestle ₹1,640.00 set na MAKEA2690
Serene Sky Ceramic Side Plate ₹1,150.00 set na SWTEA3235
Olive Coffee Mug Set of 2 ₹1,450.00 set na SWETA2632
Magnolia Coffee Mug Set of 2 ₹1,350.00 set na SWETA2630
Dewy Glass Jug With Wooden Lid ₹2,168.00 set na GSTEA2562
Noor tray set of 2 ₹2,490.00 set na WDSWA3984
Glass Water Dispenser ₹3,188.00 set na GSTEA1905
Ceramic Cereal Bowl Stripes Blue ₹890.00 set na SWTEA1730

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.