> For the complete documentation index, see [llms.txt](https://docs.fractalvisions.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fractalvisions.io/fveco/fractal-pod/rewards/vision.md).

# VISION

## $VISION ai Token

$VISION is the utility token for the Fractal Visions ecosystem.

It supports marketplace activity, early user rewards, and VISION AI initiatives.

### At a glance

* **Token type**: ERC-20 utility token
* **Network**: Base
* **Total supply**: **1,000,000,000 $VISION**
* **Decimals**: **18**
* **Contract address**: `0x50d7A818E5e339ebE13b17E130B5B608fAC354DC`
* **Governance rights**: None

{% hint style="info" %}
$VISION is utility-focused. Governance is handled separately through **$FVXX**.
{% endhint %}

### Executive summary

Fractal Visions combines blockchain infrastructure with AI-driven tooling for NFTs, creator activity, and community engagement.

$VISION sits at the center of that system. It is designed for marketplace transactions, user incentives, and ecosystem growth.

The tokenomics framework focuses on sustainable participation, active usage, and support for the VISION AI agent.

### About Fractal Visions

Fractal Visions is a decentralized NFT marketplace centered on artistic expression, community participation, and technical experimentation.

The platform combines blockchain and AI to help artists and collectors create, trade, discover, and interact with NFTs in a more dynamic environment.

### Vision and mission

* **Vision**: Create a vibrant and sustainable ecosystem where art and technology converge.
* **Mission**: Improve the NFT marketplace experience with AI-driven tools, transparency, community-led growth, and public goods support.

### Token overview

#### Core features

* **Utility-focused**: Used for trading, bidding, offers, and NFT purchases.
* **AI integration**: Supports the VISION AI agent and related ecosystem features.
* **Non-governance**: Does not grant governance rights.

#### Supply and circulation

* **Total supply**: **1,000,000,000 $VISION**
* **Team allocation**: **2,800,000 $VISION** or **0.28%**
* **Community circulation**: **997,200,000 $VISION** or **99.72%**

### Tokenomics

#### Allocation breakdown

**Fractal Visions team — 0.28%**

* **Amount**: **2,800,000 $VISION**
* **Purpose**: Platform development, ecosystem scaling, and VISION AI operations
* **Lock-up**: No lock-up after the Token Generation Event

**Immediate community and user rewards — 0.01%**

* **Amount**: **100,000 $VISION**
* **Purpose**: Incentivize trading activity, loyalty, and early participation

Sub-allocations:

* **Marketplace trading rewards**: **50,000 $VISION**
* **Loyalty bonuses**: **10,000 $VISION**
* **Art and community grants**: **12,000 $VISION**

**Public goods and grants — 0.05%**

* **Amount**: **500,000 $VISION**
* **Purpose**: Support retroactive funding and public goods across the broader ecosystem
* **Use cases**:
  * Retroactive rewards
  * Open-source development
  * Educational initiatives
  * Community-led grant programs

**Development and operations — 0.1%**

* **Amount**: **1,000,000 $VISION**
* **Purpose**: Ongoing development, operations, and technical improvement
* **Coverage**:
  * Marketplace enhancements
  * VISION AI development
  * Infrastructure and operating costs

**Liquidity provision — 0.1%**

* **Amount**: **1,000,000 $VISION**
* **Purpose**: Support liquidity on decentralized exchanges
* **Coverage**:
  * Initial liquidity at TGE
  * Future liquidity support

#### Distribution context

The current structure is designed to bootstrap marketplace activity, reward early usage, fund AI-related development, and support liquidity.

The majority of supply is already in community circulation. That shifts the focus from initial distribution to long-term utility and ecosystem growth.

### Utility and use cases

#### Marketplace transactions

$VISION acts as the main transactional token inside the Fractal Visions marketplace.

It is used for:

* Placing bids
* Making offers
* Purchasing NFTs

#### Community rewards

$VISION supports direct engagement incentives for active users.

These include:

* Trading rewards tied to marketplace activity
* Loyalty bonuses for consistent participation
* Community grants for aligned contributors

#### VISION AI integration

VISION AI is an autonomous AI agent embedded in the broader Fractal Visions ecosystem.

Its role includes:

* Social engagement across channels such as X and Telegram
* Art curation and creator discovery
* Marketplace analytics and trend analysis
* Personalized interaction and community support

#### Artistic and social impact

$VISION also supports broader ecosystem outcomes beyond transactions.

These include:

* Retroactive funding for past contributors
* Public goods support
* Grants for artists, builders, and community initiatives

### Governance and security

#### Governance model

$VISION is not a governance token.

Governance is handled through a separate multi-council structure using **$FVXX**.

Referenced councils include:

* **Grant Review Council**
* **Security Council**
* **Code of Conduct Council**

#### Security posture

Security priorities include:

* Smart contract audits
* Secure token distribution practices
* Continuous monitoring for suspicious activity

{% hint style="warning" %}
Some roadmap and operational details may evolve as the marketplace expands across networks and features.
{% endhint %}

### Technical architecture

#### Smart contracts

$VISION is built on the ERC-20 standard for wallet and exchange compatibility.

The token design also supports automated reward distribution based on predefined marketplace activity.

#### AI infrastructure

VISION AI is designed to connect with marketplace systems through real-time data access and machine learning workflows.

Core components include:

* API connectivity
* Machine learning models
* Natural language processing

### Economic model

#### Incentive alignment

The model is designed to align activity across the ecosystem:

* **Users** receive rewards for marketplace participation.
* **Creators** benefit from grants and retroactive support.
* **Developers** receive resources for product and infrastructure work.
* **Public goods contributors** receive funding for ecosystem-wide value creation.

#### Value mechanisms

The current framework references two value-supporting mechanisms:

* Periodic burn events funded by marketplace fees
* Redistribution of part of marketplace fees through incentive programs

### Risk management

#### Market risks

* Token price volatility
* Liquidity constraints during growth periods

#### Security risks

* Smart contract vulnerabilities
* Cybersecurity incidents

#### Operational risks

* Development delays
* Regulatory changes

### Community and ecosystem

Fractal Visions grows through a combination of creators, collectors, developers, and aligned partners.

Key ecosystem channels include:

* Social engagement powered by VISION AI
* Community events and campaigns
* Partnerships with artists and blockchain projects
* Developer grants and open-source participation

### Roadmap

{% stepper %}
{% step %}

### Phase 1 — Launch and deployment

* Token Generation Event for **1,000,000,000 $VISION**
* Initial marketplace rollout
* Early VISION AI deployment for support and social engagement
  {% endstep %}

{% step %}

### Phase 2 — Community growth

* Reward early marketplace activity
* Launch public goods and retroactive funding initiatives
* Expand partnerships with artists, influencers, and ecosystem projects
  {% endstep %}

{% step %}

### Phase 3 — Ecosystem expansion

* Improve VISION AI capabilities
* Expand liquidity support
* Explore cross-network interoperability
  {% endstep %}

{% step %}

### Phase 4 — Long-term sustainability

* Maintain rewards and incentives
* Support larger public goods initiatives
* Expand globally across creators, collectors, and communities
  {% endstep %}
  {% endstepper %}

### Mathematical breakdown

#### Supply

* **Total supply**: `S_total = 1,000,000,000`
* **Team allocation**: `S_team = 2,800,000`
* **Community circulation**: `S_community = 997,200,000`

#### Allocation formulas

* `S_circulating = S_team + S_community`
* `A_team = 2,800,000`
* `A_rewards = 100,000`
* `A_public_goods = 500,000`
* `A_development = 1,000,000`
* `A_liquidity = 1,000,000`

#### Utility summary

* `T_transaction = Bids + Purchases + Offers`
* `R_trading = 0.5% marketplace fees redistributed`
* `E_social = Posts + Replies + Promotions`
* `A_marketplace = User Insights + Trend Analysis`

### Example reward distribution

* **User A**
  * Monthly trading volume: **$1,000**
  * Trading rewards: **420 $VISION**
* **User B**
  * Activity: Participated in monthly trades for three consecutive months
  * Loyalty bonus: **420 $VISION**

### Disclaimer

This material is provided for informational purposes only.

It does not constitute financial, legal, or investment advice. Participants should do their own research and consult qualified advisors when needed.

### Related pages

* [FVXX](/fveco/fractal-pod/rewards/fvxx.md)
* [FVPGF](/fveco/fractal-pod/rewards/fvpgf.md)
* [Rewards](/fveco/fractal-pod/rewards.md)


---

# 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.fractalvisions.io/fveco/fractal-pod/rewards/vision.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.
