What is Codatta (XNY)?

TLDR Codatta (XNY) is a decentralized protocol transforming raw data into tokenized assets, enabling contributors to earn royalties while fueling AI and decentralized science (DeSci) projects.

1. Data-to-Asset Marketplace – Connects data creators with AI developers via blockchain-based infrastructure.
2. Royalty Model – Contributors earn ongoing rewards when their tokenized datasets are used.
3. Multi-Chain Ecosystem – Operates across BNB Chain, Ethereum, and Solana, emphasizing cross-chain compatibility.

Deep Dive

1. Purpose & Value Proposition

Codatta addresses data exploitation by centralized entities, allowing contributors to retain ownership and monetize their knowledge. It converts raw data—like healthcare annotations or crypto transaction patterns—into verifiable digital assets. These assets are traded on a permissionless marketplace, with contributors earning royalties through smart contracts when AI/DeSci projects use their data (Codatta Blog).

2. Technology & Architecture

The platform uses a hybrid storage model: on-chain proofs ensure transparency (e.g., dataset ownership records), while off-chain encrypted data protects privacy. AI algorithms assess data quality, match creators with demand, and automate royalty distributions. Codatta also integrates with BNB Greenfield for decentralized storage and supports cross-chain interactions (MEXC Article).

3. Tokenomics & Governance

XNY (10 billion max supply) serves three roles:
- Governance: Holders vote on protocol upgrades and dataset validation rules.
- Utility: Pays for dataset access, staking, and collateral for data quality assurance.
- Incentives: Rewards contributors and validators, with 48% of tokens allocated to community initiatives (Phemex Guide).

Conclusion

Codatta reimagines data ownership by merging decentralized infrastructure with AI-driven collaboration, empowering contributors to monetize their expertise. As the platform expands into healthcare, robotics, and DeSci, a critical question remains: Can it scale data quality assurance while maintaining decentralization? Explore its partnerships and dataset adoption to gauge long-term viability.