# Whitepaper

<figure><img src="/files/TSLEQMP7Ib673efaEHQk" alt=""><figcaption></figcaption></figure>

SportKings is a Play To Earn decentralized protocol that has been developed to transform the gaming industry by combining the excitement of sports betting with the competitiveness of Daily Fantasy games.

At SportKings, we believe that sports prediction gaming should be an enjoyable and exciting experience for all players, regardless of their level of expertise. That's why we've designed our protocol to offer Predict-To-Earn contests where players can put their skills and knowledge to the test without having to worry about losing money.

With our Predict-To-Earn contests, players can participate in virtual tournaments and compete against other players from all over the world. These tournaments are based on real sports events, and players earn points based on their predictions of the outcome of these events with real odds. Like a virtual bookie.

One of the biggest advantages of our Predict-To-Earn contests is that they provide a safe and controlled environment for players who may have gambling problems. Unlike traditional sports betting, where players risk losing money, our predict-to-earn contests allow players to compete for prizes without risking any of their own funds.

Moreover, our Predict-To-Earn contests also provide players with a new level of engagement with sports events. As they make predictions and compete against other players, they develop a deeper interest and knowledge of the sports they love.

Our Predict-To-Earn contests provide a fun, engaging, and safe alternative to traditional sports betting and fantasy gaming platforms. Whether you're a seasoned sports fan or a newcomer to the world of sports prediction gaming, SportKings offers a unique and exciting way to enjoy the thrill of sports and competition.


---

# 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://sportkings.gitbook.io/home/whitepaper.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.