KicksDB aggregates data from multiple platforms and cross-matches them to provide a unified view of the product. It’s useful when you want to compare prices, images, and overall data of a product. In December 2025, we have over 1.6M products in our database and around 340k of them posses at least one related product on another platform. We keep improving our cross-matching algorithm to provide the most accurate results. You can search for a product by its SKU, Product ID or Slug. Slug is the recommended way to search for a product because SKU might have special characters or spaces and Product ID might overlap other products from different platforms. Request example:Documentation Index
Fetch the complete documentation index at: https://docs.kicks.dev/llms.txt
Use this file to discover all available pages before exploring further.
Remarks
- Our algorithm uses only deterministic identifiers in order to avoid false-positives, however, this does not guarantee 100% accuracy.
- You can use the
similarityparameter to filter products with a similarity score in addition to the existing cross-matching algorithm. The default threshold is 0.85. - Some products might have multiple matches in the same platform, this can happen for multiple reasons:
- The platform did not tag the product with the correct identifier
- The product might have GS, TD variants with same identifiers
