# AgentFi Incentives

### Purpose of Emission Rewards

The protocol allocates emission rewards to incentivize the creation and support of high-quality, productive agents.

* **Competition Encouragement**: By rewarding the top agent pools, the protocol fosters competition among creators and communities to develop superior agents.
* **Quality and Productivity**: Incentivizing the best agents ensures that users have access to efficient and valuable AI services.

<figure><img src="/files/WikC4ajXXIkdAM86x820" alt=""><figcaption><p>Protocol Emission to Top 3 Liquidity Pools by TVL</p></figcaption></figure>

### Mechanism of Emission

* **Emission Allocation**:
  * Emissions are allocated to liquidity providers of agent tokens.
  * The allocation is weighted based on the size of the liquidity pool.
* **Eligibility**:
  * Only the top three agent liquidity pools receive emissions.
  * The possibility to include more pools can be decided through governance mechanisms.
* **Emission Schedule**:
  * The proposed emission for the first 12 months is 60,000,000 $VIRTUAL tokens, per governance proposal [here](https://gov.virtuals.io/proposal/114159049320088981416633051769497309098912685542870398419330790013517149477918).
* **Distribution to Liquidity Providers**:
  * Rewards are distributed proportionally to liquidity providers within the eligible pools.
  * This incentivizes participants to provide liquidity to the most successful agents.

### Benefits of the Emission Mechanism

* **Enhanced Liquidity**: Encourages more liquidity in top agent pools, improving market efficiency.
* **Agent Improvement**: Motivates creators to continuously improve their agents to remain competitive.
* **Ecosystem Growth**: Drives the overall growth and robustness of the Virtuals Protocol.


---

# Agent Instructions: 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://whitepaper.virtuals.io/about-virtuals-1/the-protocol/virtual-agents-as-programmable-decentralized-entities/agentfi-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.
