Wheel Fitment Data APIs
RideStyler API vs. Fitzy for Tire & Wheel Shops
An automotive data API providing wheel fitment ranges, OE tire sizes, offsets, and bolt patterns for developers.
RideStyler API is a real, legitimate wheel fitment data apis provider — this page isn't claiming otherwise. It's not a full storefront, so the fair comparison isn't feature-for-feature; it's what you'd still need to build (or buy) around it to sell tires and wheels online, versus what Fitzy already includes in one platform.
| What It Takes | Fitzy | RideStyler API |
|---|---|---|
| What it actually is | A complete ecommerce platform | A data feed / API / standard |
| Includes a customer-facing storefront | Yes | No — data only |
| Includes live, purchasable supplier inventory | Yes, 75+ suppliers | No — you'd still need to source and connect inventory separately |
| Includes checkout, financing, and fulfillment | Yes | No |
| Requires developer integration to use for ecommerce | No — ready to use | Typically yes |
| Ongoing engineering maintenance | Fully managed by Fitzy | Your responsibility |
Common Questions
Is RideStyler API a competitor to Fitzy?
Not directly — RideStyler API provides wheel fitment data, which is one ingredient in a tire and wheel ecommerce platform. Fitzy already includes accurate fitment data as part of a complete storefront, live inventory, checkout, and fulfillment system.
Do I still need RideStyler API if I use Fitzy?
No. Fitzy's fitment engine and product data are already built in and tied to live, purchasable supplier inventory, so there's nothing separate to license or integrate.
What would it take to build a store around RideStyler API on my own?
You'd need to license the data, hire or contract developers to integrate it, then separately build (or buy) a storefront, checkout, supplier connections, and fulfillment — the full scope is broken down on our Build vs. Buy page.
Is RideStyler API's data accurate?
We have no reason to doubt the accuracy of RideStyler API's data for its intended use case. This comparison isn't about data quality — it's about the difference between a data source and a complete, ready-to-sell ecommerce platform.