zKML
ZKML
Evaluation Score
Overall rating on a scale of 0-10
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AI Analysis
Comprehensive evaluation of the token
While zKML targets a compelling and high-potential market in privacy-preserving machine learning and has cultivated a genuine community, the project is critically undermined by a complete lack of verifiable development, an anonymous team, and the absence of any security audits. These fundamental failures, combined with concerning tokenomics that suggest high centralization risk, create an extremely dangerous investment profile. The strong use case cannot compensate for the absence of transparency, security, and execution.
Detailed Analysis by Category
Development Activity
Code updates and developer engagement
Community Support
Social media presence and community engagement
Tokenomics
Supply, distribution, and utility
Market & Use Case
Value proposition and competitive landscape
Team & Governance
Team background and project governance
Security & Audits
Security history and audit status
About zKML (ZKML)
zKML (ZKML)
zKML is the native utility and governance token of the zKML Network, a decentralized platform for privacy-preserving machine learning powered by zero-knowledge proofs (ZKPs). Designed to enable secure data collaboration and verifiable model training, zKML brings confidentiality and scalability to distributed AI workflows.
Key Features
- Zero-Knowledge Machine Learning: Verifies model integrity and performance without exposing raw data or proprietary algorithms.
- Privacy-Preserving Computation: Utilizes zk-SNARKs/zk-STARKs to ensure data contributors retain full control over sensitive information.
- Layer-2 Scalability: Leverages Layer-2 rollups for high throughput, low-cost transactions, and near-instant finality.
- On-Chain Governance: Token holders participate in protocol upgrades, parameter adjustments, and ecosystem fund allocations.
Token Utility
- Transaction Fees: Pays gas fees for secure model training, proof generation, and verification on the network.
- Staking & Validation: Stakes zKML to secure the network, earn protocol rewards, and validate zero-knowledge proofs.
- Governance Voting: Votes on proposals covering feature releases, incentive structures, and community grants.
- Service Access: Unlocks premium AI services, data marketplace listings, and developer SDK features.
Technology Stack
- Zero-Knowledge Proofs: Ensures model outputs are accurate and tamper-proof without revealing inputs.
- Decentralized Data Oracles: Feeds reliable off-chain data for robust model training and evaluation.
- SDK & APIs: Provides developer tools for rapid integration with existing ML frameworks (TensorFlow, PyTorch).
Get Involved
- Official Website: https://zkml.network
- Whitepaper: https://zkml.network/whitepaper.pdf
- GitHub: https://github.com/zkml
- Community: Join discussions on Discord and Telegram to stay updated on protocol developments.
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