> For the complete documentation index, see [llms.txt](https://magverse.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://magverse.gitbook.io/docs/merchant-guide/tasks-and-collaboration/interactive-blocks.md).

# Bounty System

MagVerse transforms marketing into a performance-driven incentive system through flexible reward models, which are provided to support different task objectives and marketing strategies.&#x20;

Merchants can select the most suitable reward structure when creating a task.

### 1. Reward Types

MagVerse supports three reward models:

* **Fixed Reward**
* **Tiered Payout**
* **Pool Share**

Each model is designed for different campaign goals and budget strategies.

<figure><img src="https://2801860891-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfyByxFrPzvRHIxSDwekz%2Fuploads%2F4vIQd0LgeF9nVZY1PXL2%2Fimage.png?alt=media&amp;token=b5b53bc3-f9ca-4058-83ec-a930a6711739" alt=""><figcaption></figcaption></figure>

### 2. Fixed Reward

The Fixed Reward model is suitable for execution-focused tasks where consistent content output is required.

#### Basic Settings

* **Target Number of Curators**
* **Requirements (optional)**
  * Number of X followers
  * Number of tasks completed
  * Total earnings on MagVerse
  * Account level (1–20)

#### Task Setup

* Task Title
* Task Description
* Task Category
  * Short Tweet / Long Tweet / Article / Graphics / Video / Space

#### Reward Logic

* Each curator receives a **fixed reward** upon successful completion of the task.

### 3. Tiered Payout

<figure><img src="https://2801860891-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfyByxFrPzvRHIxSDwekz%2Fuploads%2Fp6XvYDUfPgYBQwA7EBTB%2Fimage.png?alt=media&amp;token=d4bdf662-4bf7-4064-afd9-07d0f27d09ef" alt=""><figcaption></figcaption></figure>

The Tiered Payout model is designed to **incentivize performance differentiation** and reward higher-quality content.

#### Base Settings

(Same as Fixed Reward)

#### Reward Structure

**1) Base Reward**

* All curators who complete the task receive a base reward
* Independent of performance

**2) Performance Bonus**

You must choose **one** of the following models (cannot be combined):

#### A. Fixed Tier

* Additional rewards are triggered when specific KPI thresholds are reached

**Example:**

* > 1000 impressions → +$5
* > 5000 impressions → +$10

**Key Rules:**

* Multiple milestones can be set
* **Only the highest achieved tier is rewarded (non-cumulative)**

**Supported KPIs:**

* Impressions
* Likes
* Comments
* Bookmarks
* Retweets

#### B. Progressive Bonus

* Rewards are accumulated incrementally based on performance

**Example:**

* $5 for every 1000 impressions
* Capped at $50

**Key Rules:**

* Rewards are cumulative
* A maximum cap must be defined
* Multiple KPIs can be used (no duplication)

**Supported KPIs:**

* Impressions
* Likes
* Comments
* Bookmarks
* Retweets

### 4. Pool Share

<figure><img src="https://2801860891-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfyByxFrPzvRHIxSDwekz%2Fuploads%2F2LL7yHQHnPFnHYUrTiKF%2Fimage.png?alt=media&amp;token=85e93456-ec43-4339-894f-1bb808ca5c11" alt=""><figcaption></figcaption></figure>

The Pool Share model is ideal for **large-scale campaigns, competitions, and viral growth strategies**.

#### Base Settings

* **Total Reward Pool**
* No base reward

#### Scoring System

Define weighted scoring factors (must sum to 1):

* Impressions
* Likes
* Comments
* Bookmarks

Optional:

* Minimum score requirement

#### Settlement Models

You must select one:

**A. Proportional**

* Rewards are distributed based on each curator’s share of the total weighted score

**Formula:**

> Individual Score / Total Score × Reward Pool

**B. Ranking**

* Rewards are distributed based on leaderboard rankings

**Example:**

* Top 1 → 10%
* Top 2 → 5%
* Top 3–10 → 20%

**Requirement:**

* Total allocation must equal 100%
