Deep Dive
1. ERC-8004 Integration (15 December 2025)
Overview: Codatta integrated the ERC-8004 protocol to strengthen decentralized AI-driven data markets, enabling human and AI-generated data to become tradable assets.
The collaboration introduces three integration archetypes: Reconstruction (rebuilding fragmented data), Fusion (combining multi-source data), and Upstream/Downstream (linking data creation to AI consumption). This allows Codatta to act as a foundational layer for AI agents, ensuring verifiable provenance and long-term royalties for contributors.
What this means: This is bullish for XNY because it positions Codatta as a critical infrastructure for AI data ownership, attracting developers needing transparent, monetizable datasets. (Source)
2. Chainlink CCIP Adoption (10 December 2025)
Overview: Codatta adopted Chainlink’s Cross-Chain Interoperability Protocol (CCIP) to enable secure XNY transfers between Base and BNB Chain, reducing data corruption risks in AI systems.
The integration uses dual validation (Coinbase and Chainlink nodes) to ensure message integrity, a critical upgrade for multi-chain ecosystems.
What this means: This is neutral for XNY as it improves technical reliability but hasn’t yet driven measurable trading volume. However, it lays groundwork for broader institutional use cases. (Source)
3. DID V1 Launch (10 November 2025)
Overview: Decentralized Identity (DID) V1 went live, allowing users to mint unique on-chain identities on Base. This update unlocks staking rewards, task-based incentives, and domain management.
Over 10,000 users migrated within the first week, contributing 160K+ data points to Codatta’s open-source LLM failure dataset.
What this means: This is bullish for XNY because DIDs enhance user retention and data quality, key for attracting AI developers seeking auditable datasets. (Source)
Conclusion
Codatta’s codebase updates emphasize interoperability (CCIP), AI data ownership (ERC-8004), and user identity (DID V1)—cornerstones for its vision of a decentralized AI knowledge layer. Will these upgrades accelerate adoption by AI startups in 2026?