# FLock.io (FLOCK): D-Score 16/100 — Highly Centralized

**BlockIndex D-Score: 16/100 (Highly Centralized).** FLock.io (FLOCK) is a Layer 2 cryptocurrency using PoS consensus. FLock.io: Decentralized AI training platform merging federated learning with blockchain, enhancing privacy and community collaboration.

_Source: https://blockindex.ai/coin/flock · Data by BlockIndex.AI · Updated 2026-06-19_

## D-Score breakdown (0-100, higher means more decentralized)
| Component | Score |
| --- | --- |
| Overall D-Score | 16 |
| Node distribution | 0 |
| Initial distribution | 0 |
| Governance | 11 |
| Age and history | 5 |
| Autonomy | 0 |

## Key facts
- Layer: Layer 2
- Consensus: PoS (Other)
- Launch: Not specified (2025)
- Founder: N/A
- VC funded: Yes
- Max supply: 1,000,000,000
- Circulating: 390,545,475 (39.1%)

## Market data (as of 2026-06-19)
- Price: $0.04
- Market cap: $14.84M
- 24h volume: $2.91M
- 24h change: -3.58% · 7d change: -5.02%

## About
FLock.io represents an innovative convergence of artificial intelligence and blockchain technology through a federated learning approach. It decentralizes AI model training, enhancing privacy and allowing collaborative AI model development without a central data repository. Key components include the AI Arena for model training, the FL Alliance for privacy-preservation, and an AI Marketplace for model deployment. The FLOCK token underpins the network, providing incentives and governance. Supported by the Ethereum Foundation and leading investors, FLock.io positions itself at the forefront of AI democratization on blockchain, being the first Web3 project showcased at the Royal Society. It operates as a token on Ethereum's blockchain, leveraging its consensus and engaging in token-based governance. The technology integrates federated learning with blockchain to maintain data privacy and sovereignty while fostering innovation in AI deployment.

## Links
- Website: https://www.flock.io/
- Whitepaper: N/A
- GitHub: N/A

---
About the D-Score: BlockIndex.AI rates decentralization from 0 to 100 across node distribution, initial distribution, governance, age and history, and autonomy. Methodology: https://blockindex.ai/dscore