> For the complete documentation index, see [llms.txt](https://vaultbook.gauntlet.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://vaultbook.gauntlet.xyz/vaults/morpho-vaults/incentives-and-performance-fees.md).

# Vault Incentives

Within Morpho, users can incentivize both vaults and markets via [Merkl](https://merkl.xyz/), a permissionless reward distribution protocol. Suppliers to Gauntlet vaults automatically receive any active incentives based on their vault positions.

## Merkl Distribution Types

Merkl supports several campaign structures, each suited to different incentive goals.

### Variable Reward Rate

A fixed token budget is allocated per second across all active suppliers, so APR is variable and adjusts as total liquidity in the vault or market changes.

**How it works:** Rewards are distributed proportionally based on time-weighted liquidity. Early participants earn a higher share before additional liquidity enters. As more suppliers join, rewards dilute proportionally.

|          |                                                                                         |
| -------- | --------------------------------------------------------------------------------------- |
| **Pros** | Early entrants earn elevated APR; straightforward budget planning for campaign creators |
| **Cons** | Yields dilute as TVL grows; later participants earn less than early ones                |

***

### Fixed Reward Rate

Users earn a predefined amount of rewards per unit of liquidity at a fixed rate. Campaigns can be denominated in tokens or in dollar terms.

**How it works:** Each supplier earns a consistent APR regardless of how much total liquidity is in the pool. The campaign ends when the budget is exhausted.

|          |                                                                                                      |
| -------- | ---------------------------------------------------------------------------------------------------- |
| **Pros** | Predictable yield for suppliers; can be structured in token or dollar terms                          |
| **Cons** | Campaign creator's cost scales directly with participation; budget may go unspent if TVL remains low |

***

### Capped Reward Rate

Functions like a variable rate campaign but with a maximum APR ceiling set by the campaign creator.

**How it works:** APR adjusts with TVL but cannot exceed the defined cap. This prevents early entrants from capturing disproportionately high rewards during low-liquidity bootstrapping periods.

|          |                                                                            |
| -------- | -------------------------------------------------------------------------- |
| **Pros** | Sustainable budget distribution; prevents APR spikes from low initial TVL  |
| **Cons** | Less upside for early participants compared to uncapped variable campaigns |

***

### Target Total APR

The campaign tops up yield to a defined minimum APR target. Rewards are only distributed when native yield falls below the target; no incentives are paid out when organic yield meets or exceeds it.

**How it works:** Merkl calculates the gap between current native yield and the target, distributing only enough rewards to close that gap. Incentive spend automatically decreases as organic yield grows.

|          |                                                                                                    |
| -------- | -------------------------------------------------------------------------------------------------- |
| **Pros** | Most capital-efficient structure; spend declines automatically as organic yield increases          |
| **Cons** | Limited protocol availability; requires reliable native yield data to calculate the gap accurately |


---

# 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://vaultbook.gauntlet.xyz/vaults/morpho-vaults/incentives-and-performance-fees.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.
