> For the complete documentation index, see [llms.txt](https://docs.galaxyhub.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.galaxyhub.ai/usdnova-token/rewards-for-reports-and-participation.md).

# Rewards for reports and participation

**Protect the ecosystem. Get rewarded.**

One of the fundamental pillars of NOVA AI is that **Web3 security cannot be centralized**. Therefore, we encourage active community participation to detect, report, and mitigate real threats—and we do so clearly: **those who help protect, also win**.

The rewards system is designed to recognize and compensate users in $NOVA who:

* Report scams, malicious contracts, or dangerous wallets
* Validate or correct other users' reports
* Help train the AI ​​model with useful feedback
* Participate in improving the ecosystem (testing, support, technical or educational contributions)

#### System Objectives

* Incentivize early threat detection
* Build a decentralized and dynamic database
* Increase the accuracy of the AI ​​Assistant and Virus Radar
* Reward useful, non-speculative collaboration

#### How does it work?

1. **Report or contribution**: The user performs a useful action (e.g., report a scam, validate a risk, suggest improvements).
2. **Automatic + human validation**: The system analyzes whether the report is valid, original, and relevant. This may include AI and community moderation.
3. **Point or Token Allocation**: A proportional reward is assigned based on the impact of the contribution.
4. **Reputation History**: Each wallet accumulates reputation, allowing access to better rewards or special features in the future.
5. **Distribution**: $NOVA is distributed weekly or monthly from a public reward pool.

#### Types of Actions that Receive Rewards

| Action                                 | Reward Type               |
| -------------------------------------- | ------------------------- |
| Report a validated scam contract       | $NOVA (fixed or variable) |
| Validate or reject third-party report  | Reputation + $NOVA        |
| Participate in betas or active testing | $NOVA + early access      |
| Discover new scam patterns             | Special rewards           |

#### Security Rules

* Rewards are **not guaranteed** and depend on the quality and validity of the contribution.
* Duplicate reports, false positives, or spam will not be rewarded.
* Users who abuse the system will be penalized with loss of reputation and access to future features.

#### Why does this matter?

* Creates an ecosystem of **collective intelligence**
* Replaces closed blacklists with open collaboration
* Transforms each user into an active part of the defense system
* Revalues ​​the $NOVA token as a useful, not speculative, tool


---

# 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://docs.galaxyhub.ai/usdnova-token/rewards-for-reports-and-participation.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.