When discussing multi-chain ecosystems, people often think that the bottleneck lies in Consensus and bandwidth. However, what truly hinders the speed of application expansion is often the fragmentation of the Data Layer.

The data structures of each chain are inconsistent, the compression methods are different, and the log formats are even incompatible. Developers often feel like they are piecing together a bunch of irregular Lego blocks when retrieving state across chains, which is both time-consuming and unstable.

@spaace_io What is actually being done here is closer to "chain-level data reconstruction." Its Composite Data Virtualization Layer will virtualize the multi-chain data structure before it enters the application, unifying the states, events, and Merkle structures of different chains into a single abstract data model. For developers, blocks, logs, and proofs no longer come from different worlds; you are facing a unified data interface layer.

Secondly, Spaace's Zero-Knowledge Sync Matrix allows data synchronization between chains without the need for complete verification, instead utilizing ZK proofs to compress the synchronization process. You do not need to re-verify the state, just verify the proof itself.

This design can significantly reduce the cost of cross-chain data consistency, which has a particularly large impact on DeFi aggregators, multi-chain asset management tools, and on-chain analytics applications.

The Adaptive Data Pruning System is also worth noting; it does not simply perform data pruning, but automatically adjusts the data retention strategies of different chains based on access frequency and network congestion, thereby reducing redundancy and improving index response speed.

These capabilities together make Spaace more like building a "cross-chain data operating system" rather than just a simple interoperability protocol. As Web3 continues to expand, the unification of the Data Layer often determines the upper limit of the ecosystem's scale more than breakthroughs in the execution layer.