> For the complete documentation index, see [llms.txt](https://glint-analytics.gitbook.io/glint-analytics/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://glint-analytics.gitbook.io/glint-analytics/rewards/reward-process-and-mechanism.md).

# Reward Process and Mechanism

Our reward system is designed to incentivize and recognize top onchain analysts through regular, automated voting rounds. Every two weeks, a new voting round begins, and all previous votes are reset. During this period, all participants are encouraged to vote based on the quality and impact of dashboard insights and other onchain data contributions.

At the end of each round, we calculate the winners using a combination of votes and additional metrics (such as dashboard views). The top three winners are then automatically rewarded with $GLNT tokens. These tokens can be used within the platform for various benefits or exchanged for other tokens, providing both utility and flexibility.

### Key points of the reward process:

* **Voting Rounds**

  Initiate every two weeks; votes are reset at the start of each round.
* **Evaluation Criteria**

  Winners are determined by the number of votes received and may include other metrics (e.g., dashboard views).
* **Automatic Payout**

  The top three winners receive their rewards automatically in GLNT tokens.
* **Token Utility**

  $GLNT tokens can be used within the app or swapped for other tokens for additional payouts.