Shelfglance

Agent endpoint

What an agent sees at niviasports.com

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

ProductPriceCategorySKU
Aura Football Stud Shoe ₹4,699.00 set sg-1-18-8 5951MG05
Ashtang 3.0 Football Studs ₹1,799.00 set sg-1-18-8 1670SB03
Dagger Men's Football Studs ₹1,479.00 set aa-8 1416FG03
HY-Court 3.0 Badminton Shoes ₹1,615.00 set sg-4-14-1-4 1262BK03
Jury Badminton Shoes ₹3,199.00 set sg-4-14-1-4 5949BL03
Aura Turf Football Shoe ₹4,699.00 set sg-1-18-8 5953MB05
Nivia Scorpion Gym Glove ₹449.00 set sg-2-24-4 8906L
Mid Court Badminton Shoe ₹1,299.00 set sg-1-15-7 5957BW03
Safari Men's Football Shoes ₹1,172.00 set sg-1-18-8 1415DG03
COMBAT 2.0 ₹1,719.00 set sg-1-3-5 1171BK06

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.