What is Codatta (XNY)?

By CMC AI
14 April 2026 10:45AM (UTC+0)
TLDR

Codatta (XNY) is a decentralized, multi-chain protocol designed to transform human knowledge and AI-generated data into ownable digital assets, enabling contributors to earn perpetual royalties when their data is used.

  1. Solves AI's data problem by creating a marketplace for high-quality, verifiable training data.

  2. Uses a hybrid, multi-chain architecture to ensure transparency, privacy, and scalability.

  3. Powered by the XNY token for governance, payments, and incentivizing a global contributor network.

Deep Dive

1. Purpose & Value Proposition

Codatta addresses a critical bottleneck in artificial intelligence: the scarcity of high-quality, trustworthy training data. Centralized platforms often exploit contributors, who lose ownership and see no share in the value their data creates. Codatta rebuilds this foundation as a permissionless marketplace, connecting data creators (contributors) with demanders (AI developers). It turns raw knowledge into asset-backed digital resources, ensuring contributors retain ownership and earn ongoing royalties from downstream AI innovations (Codatta). This model aims to lower costs for buyers while providing fair, transparent incentives for data provenance.

2. Technology & Architecture

The protocol is multi-chain, operating on networks like BNB Chain, Ethereum, and Solana for flexibility and reach. It employs a hybrid storage model: cryptographic proofs and ownership records are stored on-chain for immutability and transparency, while the actual data is kept encrypted off-chain to preserve privacy and manage costs. Smart contracts automate key processes like access control, metering, and royalty distribution. This technical stack is designed to support a scalable, verifiable pipeline for data assetization.

3. Tokenomics & Governance

The ecosystem is powered by its native XNY token, which has a fixed total supply of 10 billion. XNY serves multiple core functions: as a utility token for paying data access fees, as staking collateral for contributors to build reputation, and as a governance token that lets holders vote on protocol upgrades and decisions. This economic model aligns incentives, rewarding contributors for accuracy and quality, not just volume, and decentralizing control over the platform's future.

Conclusion

Codatta is fundamentally building an on-chain knowledge layer for AI, where data becomes a accountable, revenue-generating asset. How effectively can it scale its network of expert contributors to meet the rigorous quality demands of enterprise AI?

CMC AI can make mistakes. Not financial advice.