What is Codatta (XNY)?

Deep Dive

1. Purpose & Value Proposition

Codatta addresses a core bottleneck in artificial intelligence: the need for high-quality, trustworthy training data. Traditional data sourcing is often exploitative, with contributors losing ownership and receiving no share in the value their data creates downstream. Codatta rebuilds this foundation as a permissionless marketplace. It connects data creators—both human experts and AI agents—with developers and enterprises that need reliable datasets. The key innovation is turning contributed knowledge into tokenized assets. When these assets are used to train AI models, smart contracts automatically route a share of the revenue back to the original contributors as perpetual royalties, creating a fairer data economy (Codatta).

2. Technology & Architecture

The protocol operates across multiple blockchains, including BNB Chain, Ethereum, and Solana, for broad accessibility. It employs a hybrid storage model to balance transparency with practicality. On-chain smart contracts immutably record proof of ownership, contribution lineage, and royalty agreements. The actual dataset content is stored encrypted off-chain (using solutions like BNB Greenfield or Irys) to manage cost and privacy. This design ensures data provenance is transparent and auditable while keeping sensitive information secure. The platform is also integrating emerging standards like ERC-8004 for AI agent identity and x402 for pay-per-use API payments, positioning itself at the intersection of blockchain and agentic AI.

3. Tokenomics & Governance

The XNY token is the economic engine of the Codatta network. It has a fixed total supply of 10 billion. Its utility is multifaceted: it's used to pay for data access, stake to participate in quality assurance and validation tasks, and serve as collateral within the ecosystem. Most importantly, it facilitates the royalty model, distributing rewards to contributors. Holders also use XNY for governance, voting on key protocol decisions to guide its evolution. This structure aligns incentives, ensuring that those who provide valuable data are directly invested in the network's success and quality.

Conclusion

Fundamentally, Codatta is building a verifiable ownership layer for the AI data supply chain, aiming to replace opaque, one-time transactions with a transparent system of ongoing value sharing. Can its model of on-chain provenance and programmable royalties become the standard for how the world trains trustworthy AI?