# Welcome to PARKOUR

![](/files/7dGj2Tqots9VUMeCAcgo)

More than 2,500 years ago, three famous sayings were engraved on the fierce rock of Erados in ancient Greece: "If you want to get fit, run! If you want to be strong, run, if you want to run smart." It can be seen that people from a long time ago The health benefits of running have been recognized. Now in the 21st century, people are bound by various electronic devices every day, increasing their productivity while forgetting to pay attention to their bodies. Inspired by this, we decided to design a Game-Fi and Social-Fi program based on the blockchain, which is committed to allowing our users to participate in the game in a sporty way and earn token income.&#x20;

Modern people often refuse to exercise for various reasons. Parkour will make you like running and fall in love with running, because every time you run, we will give you corresponding rewards. Maybe we won't make you richer, but at least we can make you Your contribution is meaningful, just like our promotion phrase "make every drop of sweat count". We have established a sound economic model, an efficient promotion system, and an effective communication mechanism, all of which are in order to allow more people to join us, pay attention to health, reduce carbon emissions, and make the earth greener because we are a little different. Drive millions of people to live healthier lifestyles, combat global climate change, and advance the age of user-generated Web 3.0.

**Note: PARKOUR is currently under Internal test Beta Phase, so contents in the Whitepaper could be changed in the future.**

### Definition

Game Token: PKT

Governance Token: PKV


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# Agent Instructions: 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://parkour.gitbook.io/parkour/YhUImrIHnzgzJJpnUHEy/welcome-to-parkour.md?ask=<question>
```

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.
