> For the complete documentation index, see [llms.txt](https://docs.archivesol.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.archivesol.xyz/iv.-the-archivium-hub-and-marketplace/rewards-and-incentives.md).

# Rewards & Incentives

The Archivium AI Hub is more than a passive marketplace; it is an active ecosystem designed to grow and reward its most valuable participants. We have built comprehensive reward programs to foster innovation and incentivize contributions that enrich the entire network.

Our philosophy is simple: those who create value should be rewarded for it.

#### How to Participate & Earn

The protocol uses $ARCHIVE to reward a wide range of value-creating activities.

* **For Creators & Developers:**

1. **Deploy Popular Models:** Earn token rewards based on the usage and popularity of your AI models. The more API calls your model serves, the more you can earn.
2. **Provide High-Quality Data:** Curate and offer valuable, in-demand datasets. You will be rewarded as your data is used to train new models and power applications.
3. **Build Useful Applications:** Develop user-facing applications that solve real problems. A portion of the protocol's rewards are allocated to developers who bring new users and utility into the ecosystem.

<br>

* **For the Community (Future Programs):**

1. **Learn-to-Earn:** Engage with tutorials and educational content to learn how to use the Archivium Protocol and earn $ARCHIVE for completing courses.
2. **Bug Bounties:** Help us strengthen the protocol by identifying and reporting security vulnerabilities.
3. **Community Grants:** Propose and build new tools, integrations, or community resources with funding from the ecosystem's treasury.

These programs ensure that Archivium is an ecosystem built and owned by its community, where everyone has an opportunity to contribute and share in its success.

<br>


---

# 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:

```
GET https://docs.archivesol.xyz/iv.-the-archivium-hub-and-marketplace/rewards-and-incentives.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.