Deep Dive
1. Token Migration Completion (24 October 2025)
Overview: Constellation migrated DAG and DOR tokens to new contracts on Base Network, airdropping updated tokens to existing holders. This ensures compatibility with evolving DeFi standards and reduces legacy contract risks.
Old tokens are deprecated, and liquidity migrated to Aerodrome’s DAG/WETH and DOR/DAG pools. Stargazer Wallet auto-updated token displays, while other wallets require manual contract imports.
What this means: This is bullish for DAG because it reduces attack vectors from outdated contracts and simplifies cross-chain trading. Users benefit from uninterrupted liquidity but must verify token addresses during swaps. (Source)
2. EigenDA V2 Integration (7 August 2025)
Overview: Caldera (Constellation Labs) integrated EigenDA V2, a data availability layer, to boost rollup throughput to 100 MB/s. This replaces reliance on Ethereum L1 for data storage, cutting costs for high-volume dApps.
The upgrade leverages Ethereum’s security via restaked ETH while enabling guaranteed bandwidth reservations—critical for enterprise use cases like payment systems or AI data pipelines.
What this means: This is neutral-to-bullish for DAG as it positions Constellation as a scalable Layer 0 for institutions. Developers gain plug-and-play scalability, though adoption depends on EigenDA’s market traction. (Source)
3. Delegated Staking Launch (21 May 2025)
Overview: Mainnet delegated staking lets users lock $DAG behind validators, earning rewards without node operation. Validators take 5–10% commissions, and stakes require a 21-day unlock period.
The system supports up to 10 concurrent delegations per wallet, with instant validator switching. Over 120 nodes currently participate, backed by $48.4M in staked DAG.
What this means: This is bullish for DAG because it incentivizes long-term holding and decentralizes network security. However, the 21-day unlock period adds liquidity risk during volatility. (Source)
Conclusion
Constellation’s updates prioritize security (token migration), scalability (EigenDA), and participation (staking)—key drivers for enterprise adoption. While these upgrades align with Web3’s infrastructure demands, their impact hinges on developer uptake and cross-chain activity. How might EigenDA’s performance affect DAG’s role in AI-driven data ecosystems?