Shelfglance

Agent endpoint

What an agent sees at orangatangwheels.com

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

ProductPriceCategorySKU
Caguama, 85mm $88.00 set sg-4-16-4-4 WCA8577
Fat Free, 65mm $63.00 set sg-4-16-4-4 WFF6577
Love Handles, 65mm $61.00 set sg-4-16-4-4 Wheels:WH-ORA-65-LOV-77
4President, 70mm $66.00 set sg-4-16-4-4 W4P7077
Bee's Knees, 90mm $120.00 set sg-4-16-4-4 WBK9077
Durian, 75mm $73.00 set sg-4-16-4-4 WDU7580
In Heat, 75mm $71.00 set sg-4-16-4-4 WIH7577
Stimulus, 70mm $68.00 set sg-4-16-4-4 WST7077
Kegel, 80mm $78.00 set sg-4-16-4-4 WKE8077
Dad Bod - 105mm $150.00 set sg-4-16-4-4 Wheels:WH-ORA-105-DAD-77

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.