Shelfglance

Agent endpoint

What an agent sees at teatrunk.com

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

ProductPriceCategorySKU
Lemongrass Leaves $15.00 set fb-1-14 TTUSLLH3.5OZ
Throat Care Combo $21.00 set fb-1-14 TTUSTCCLT7OZ
Botanicals Cocktail Kit $50.00 set fb-1-14 none
Lavender Buds $17.00 set fb-1-14 TTUSLBH1.8OZ
Tulsi Leaves $15.00 set fb-1-14 TTUSTLH3.5OZ
Rose Petals $16.00 set fb-1-14 TTUSRPH1.8OZ
Moon White Tea $27.00 set fb-1-14 TTUSMWTTB15
Mint Matcha Green Tea $21.00 set fb-1-14 TTUSMMGTLT1.05OZ
Hibiscus Petals $15.00 set fb-1-14 TTUSHPH3.5OZ
Pumpkin Spice Matcha $17.00 set fb-1-14 TTUSPSMLT1.05OZ

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 9 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.