> 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/reward/anti-abuse-rules.md).

# Anti-Abuse Rules

Zerax AI rewards are designed for real users, real content and valid activity.

Fake engagement, spam or manipulation may lead to rejected rewards or account restrictions.

{% hint style="danger" %}
Users who abuse the reward system may lose rewards or be banned from the platform.
{% endhint %}

***

### Not Allowed

The following actions are not allowed:

* Fake quest completion
* Bot activity
* Multiple fake accounts
* Self-referral abuse
* Spam comments
* Copied content
* Misleading videos or posts
* Fake screenshots
* Invalid transaction details
* Tagging Zerax AI in irrelevant spam content
* Claiming rewards without completing the task

***

### Content Quality Rules

For content-based quests, users should create original and relevant content.

Content may be rejected if it is:

* Copied from another user
* Low quality
* Misleading
* Spam
* Not related to Zerax AI
* Missing required tags or links
* Made only to manipulate rewards

***

### Quest Verification

Quest activity may be checked manually, automatically or through AI-assisted review.

| Result         | Meaning                              |
| -------------- | ------------------------------------ |
| **Approved**   | Activity was valid.                  |
| **Rejected**   | Activity could not be verified.      |
| **Restricted** | Account may be limited due to abuse. |

***

### Referral Abuse

Referral abuse may include:

* Fake invited users
* Self-referrals
* Bot signups
* Low-quality spam referrals
* Multiple accounts controlled by the same user

Such activity may be marked invalid.

***

### Summary

The reward system is built for real participation.

Users should complete tasks honestly, create meaningful content and follow all ecosystem rules.


---

# 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
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