> For the complete documentation index, see [llms.txt](https://docs.zeraxai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zeraxai.com/token/token-overview.md).

# Token Overview

ZXAI is the utility and incentive token of the Zerax AI ecosystem.

It is designed to connect presale participation, rewards, referrals, staking and future platform access.

{% hint style="info" %}
ZXAI is not only used for presale participation.\
It is planned as the token layer behind user activity, staking rewards and long-term ecosystem utility.
{% endhint %}

***

### Token Details

| Detail                         | Value              |
| ------------------------------ | ------------------ |
| **Token Name**                 | Zerax AI           |
| **Token Symbol**               | ZXAI               |
| **Network**                    | Ethereum Mainnet   |
| **Total Supply**               | 1,000,000,000 ZXAI |
| **Presale Allocation**         | 200,000,000 ZXAI   |
| **Staking Rewards Allocation** | 200,000,000 ZXAI   |

***

### Why ZXAI Exists

ZXAI exists to support the ecosystem around Zerax AI.

It connects users with:

* Presale participation
* Reward campaigns
* Referral activity
* Staking rewards
* Future platform access
* Long-term ecosystem incentives

***

### Token Role

| Area                 | Role                                                    |
| -------------------- | ------------------------------------------------------- |
| **Presale**          | Allows early users to participate before public launch. |
| **Rewards**          | Used as a reward asset for quests and activity.         |
| **Referrals**        | Supports referral-based incentives.                     |
| **Staking**          | Allows holders to stake and earn rewards.               |
| **Platform Utility** | Planned for future access and ecosystem usage.          |

{% hint style="success" %}
ZXAI is designed to support both user participation and long-term platform growth.
{% endhint %}


---

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