> For the complete documentation index, see [llms.txt](https://pegaxy-1.gitbook.io/pegaxy-white-paper-v1/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://pegaxy-1.gitbook.io/pegaxy-white-paper-v1/nfts/gear.md). # Gear When racing inside Pegaxy, you have the ability to fit certain "Gear" to your Pega that will assist in the balancing of your Pega's attributes, according to the attributes of the track. ![](/files/-MjUPokSG3AMH6ixQYnV) As seen above, you can fit Head, Knee, Chest and Back Side gear. Each piece of gear affects a different attribute. For example if you have two chest plates, one may affect Water and one may affect Light. **It should be noted that the Gear has a positive and negative effect on attributes**. For example, if you use a Chest Plate that adds 1% **Strength**, the Chest Plate will remove 1% in **Speed** or **Fire**. Here is a simplified formula: ***Speed <-> Strength <-> Fire <-> Water <-> Wind <-> Light <-> Speed.*** With this in mind, it's important to purchase your gear strategically and decide whether you will move around your stats to increase your already dominant traits, or help balance the traits across the board? ![](/files/-MjUROyy16kgiEd4-vXS) Above you see images of the trials taking place for gear fitment. Once a sale is announced, get ready to buy, they will not last long! --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://pegaxy-1.gitbook.io/pegaxy-white-paper-v1/nfts/gear.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.