Shelfglance

Agent endpoint

What an agent sees at nalli.com

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

ProductPriceCategorySKU
MEHER ₹6,800.00 not set ES0575922
Lovelace Maroon floral design saree from Embroidered Romance Collection by Nalli ₹9,900.00 not set ES0414503
Amara-Green Kanchipuram Silk Saree ₹15,900.00 set na ES0784508
Vanashree-Ruby Red Kanchipuram Silk Saree ₹25,900.00 set na ES0784529
BHAVI ₹6,500.00 not set ES0582290
MEHER ₹6,800.00 set na ES0532420
Maangai-Bottle Green Kanchipuram Silk Saree ₹17,999.00 not set ES0784510
MEHER ₹6,800.00 not set ES0532421
Tarangini-Green Kanchipuram Silk Saree ₹19,999.00 set na ES0789301
Kadambini-Peach Bengal Cotton Saree ₹2,480.00 not set ES0782577

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 4 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.