> For the complete documentation index, see [llms.txt](https://taskoncommunitys-organization.gitbook.io/guide-book/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://taskoncommunitys-organization.gitbook.io/guide-book/boost-engagement/incentive-system/reward-type.md).

# Reward Type

TaskOn Supports different types of rewards.

**Points**

Members earn points based on their activities and contributions within the community. Points can be redeemed for rewards or used to achieve higher levels.

**Token**

Cryptocurrency that can be used within the community ecosystem or traded on external platforms. Tokens can be earned for various activities and redeemed for goods, services, or further privileges.

**NFT**

Unique digital assets that represent ownership or proof of participation in specific community events or achievements. NFTs can be collectible items, badges, or special artwork that hold value within and outside the community.

**Whitelist**

Guaranteed access to participate in exclusive events or initial offerings, such as pre-sales of new tokens or NFT drops. Whitelist spots are highly coveted as they often provide early access to potentially valuable assets.

**Exclusive Content**

Access to premium content such as in-depth articles, tutorials, webinars, or early access to new features and updates.

**Physical Rewards**

Tangible items such as branded merchandise, gadgets, books, or other physical goods that can be sent to members as a token of appreciation.

**Discord Roles**

Opportunities for members to take on leadership roles or special responsibilities within the community, such as becoming a moderator or a community ambassador.


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# 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, and the optional `goal` query parameter:

```
GET https://taskoncommunitys-organization.gitbook.io/guide-book/boost-engagement/incentive-system/reward-type.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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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.
