Shelfglance

Agent endpoint

What an agent sees at tigerfriday.com

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

ProductPriceCategorySKU
Joker Track Pants - Tigris $118.00 set aa-1-1-1-6 90833312063295
Tiger Face Tee $58.00 set aa-1-1-2-2 81868111015935
Joker Track Pants- 8 ball $98.00 set aa-1-1-1-6 34283074441823
Hot Cross Shorties - Black $56.00 set aa-1-1 31581506033375
Premiere Boy Shorts - Tiger $64.00 set aa-1-1 10094771011775
Hot Cross Shorties - Sky $56.00 set aa-1-1 31581509168863
Ellie Crop Top - Bengal $78.00 set aa-1-1 86695651013151
Hot Cross Shorties - Evergreen $56.00 set aa-1-1 31581502423135
Hot Cross Shorties - Cherry $56.00 set aa-1-1 31581506733535
Joker Track Pants - Ivy $98.00 set aa-1-1-1-6 34283070602207

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.