Fraction AI’s first FOXX NFT collection to be minted in 2 days

Fraction AI‘s FOXX NFT season 1 sold out It was completed within 48 hours and confirmed strong demand for the project’s first digital collection. After the collection was released at Base on, it quickly sold out. November 3, 2025.

FOXX NFTs offer several ecosystem benefits that directly connect holders to Fraction AI’s activities, including increased fractals, enhanced FAP, access to exclusive features, and participation in governance.

Fraction AI confirms Season 1 FOXX NFTs are sold out

Fraction AI announced that all common and rare NFTs from FOXX Season 1 were purchased within the first two days. The team added that small amounts of legendary NFTs will be distributed to selected participants over time. This deployment marks an early milestone for the platform, which introduced its first NFT collection in October 2025.

According to the project, FOXX NFT is designed to enhance user participation and provide holders with practical benefits associated with Fraction AI’s decentralized AI ecosystem.

Season 1 overview and supply breakdown

Season 1 will include 2,500 NFTs out of a planned total of 10,000 across the FOXX collection. Although only 2,500 NFTs were minted on November 3, the final supply will reflect a three-tier scarcity model that reflects industry standards developed during the 2020-2021 NFT cycle.

rarity tier

The complete FOXX collection will include:

• 7,000 common NFTs
• 2,500 rare NFTs
• 500 legendary NFTs

This creates a clear scarcity structure where legendary NFTs are 14 times rarer than common NFTs. A tiered model supports unique access levels and encourages long-term participation by scarcity-oriented users.

Why FOXX NFT is important

FOXX NFT connects directly to Fraction AI’s core mission of enabling decentralized AI training through user participation rather than centralized corporate systems. The platform is built on reinforcement learning, blockchain infrastructure, and no-code AI tools, allowing users to build and train agents using text prompts.

According to the project, FOXX NFTs offer several tangible benefits designed to keep holders active within the ecosystem.

1. Increased fractal revenue

Fractals are an internal measurement of user contributions during testnet and mainnet activity. Holding FOXX NFTs will increase the number of fractals users can earn, allowing them to earn better rewards when the platform distributes future credits associated with their participation.

2. Increased accumulation of FAP

Fraction AI Attention Points (FAP) rewards user engagement across social platforms, specifically X. Users earn points by posting, commenting, reposting, or interacting with official announcements. FOXX NFT holders earn faster and earn higher point totals.

Key details of FAP:

• Compensation is determined based on quality of engagement, not automated metrics.
• Quoted posts and reposts of official updates will earn you more points.
• Users connect their wallet to Fraction AI dapp and start earning.

3. Exclusive access

Owners will have access to the Fraction AI dapp’s premium areas and initial feature space. These include “Alpha Drops,” which provide previews and early access to new updates. We expect to see more details on these features as the mainnet expands.

4. Community governance

FOXX NFT holders can participate in discussions about missions, new spaces, and the direction of the platform. This adds a governance element to the collection, giving owners a clear voice in shaping ecosystem development.

The role of fractional AI in decentralizing AI training

Fraction AI is a decentralized automated training platform for AI agents. This enables anyone to create, test, and own AI models, regardless of technical experience.

The platform works through simple prompts, competitive training sessions, and blockchain-based tracking. Users submit their agents to challenges, earn rewards based on performance, and progress through an experience system that unlocks new abilities.

Why AI training needs decentralization

Fraction AI claims that centralized AI development is a barrier for most users because:

• Labeled datasets are expensive and managed by large companies.
• Training models require expensive hardware infrastructure.
• The need for specialized knowledge prevents widespread developer participation.
• Closed-source datasets limit innovation and transparency.

This leads to a reliance on platforms controlled by big tech companies, allowing only well-funded organizations to compete.

How Fraction AI addresses these barriers

Fraction AI uses Web3 tools to distribute training tasks and reward contributors for high-quality input. It follows a model similar to reinforcement learning combined with blockchain incentives.

The main benefits of decentralization are:

• User-owned data and AI output.
• A reward system that encourages participation.
• Reducing the cost of collecting labeled datasets.
• Accessible even to users without extensive computing resources.

The platform calls itself a “decentralized ScaleAI” and uses on-chain incentives to create trusted human-generated datasets.

Funding, leadership and early support

Fraction AI was founded by CEO Shashank Yadav, who previously worked on machine learning at Goldman Sachs and Microsoft. He launched the company in 2023 to meet the growing demand for domain-specific labeled datasets.

The project raised a pre-seed round of $6 million between April and September 2024, and was announced publicly in December of the same year. Investors include The Spartan Group, Symbolic VC, Borderless Capital, MH Ventures, and advisors Polygon and NEAR.

Funding was secured through SAFE with token warrants, allowing the team to focus on infrastructure development and core research.

industrial use

Fraction AI supports several categories in which users can compete and train agents.

These include:

• finance: Trading algorithms and market analysis.
• Content creation: Marketing, writing and communication tasks.
• Technology development: Coding, debugging, architecture.
• Games and entertainment: Storytelling and interactive experiences.

The platform uses experience points and a persistent ID system to reward users who take the time to train their agents. Top performers can earn up to 2.5x participation fees and FRAC tokens, creating multiple incentive tiers.

Why the FOXX sell-off is important for the ecosystem

The sell-off of FOXX NFTs highlights active interest in Fraction AI’s structure, which ties NFT ownership to platform participation rather than speculative activity.

NFT ownership becomes part of a larger system that facilitates:

• Data contribution
• social activities
• Training the model
• Governance involvement

By tying digital assets to measurable ecosystem benefits, Fraction AI avoids the problem seen in many NFT projects where there is no reason for owners to interact after minting.

conclusion

The sold-out season 1 of FOXX confirms the strong community engagement with Fraction AI’s decentralized AI training platform. The collection structure offers clear and practical benefits, including increased fractals, faster FAP accumulation, participation in governance, and exclusive access to future features.

Fraction AI continues to focus on accessible AI training through simple prompts, on-chain incentives, and a tiered reward system. FOXX Collection supports this approach by rewarding sustained ecosystem engagement rather than speculative trading.

resource:

1. Fraction AI X platform: https://x.com/FractionAI_xyz

2. FOXX NFT X platform: https://x.com/FOXX_NFT

3. Fraction AI Light Paper – “Fraction AI: A decentralized automated training platform for AI agents”

4. Fraction AI official website – sorting.xyz

5. Crypto AI startup Fraction AI raises $6 million in pre-seed funding – The Block reports: https://www.theblock.co/post/331488/crypto-ai-startup-fraction-funding