#apro $AT Overview of APRO Oracle and Architecture
APRO Oracle is specifically designed to solve one of the core challenges in decentralized systems: how to securely connect real-world data and computation with blockchain execution. By combining off-chain processing with on-chain verification, APRO extends both data accessibility and computational capacity without sacrificing decentralization. This hybrid architecture serves as the backbone of the APRO Data Service, allowing DApps to consume accurate, timely, verifiable data-all while sustaining cost efficiency. To builders, this means flexible oracle infrastructures that can be tailored to specific business logics, not one-size-fits-all data feeds.
APRO Data Service Models and Network Coverage
APRO Data Service supports both complementary data models: Data Push and Data Pull. In such a way, DApps can easily choose the most suitable approach depending on their operational needs. Currently, APRO provides 161 Price Feed services across 15 major blockchain networks, ensuring broad ecosystem compatibility. This multi-chain coverage is critical for modern DeFi and cross-chain applications, given that consistent data availability across environments directly affects user trust in protocols and stability. Offering real-time and on-demand access to data, APRO positions itself as an infrastructure layer fit for diverse business scenarios of DApps.
Data Push Model for Continuous and Scalable Updates
Data Push works on the principle of a push mechanism whereby decentralized, independent node operators constantly gather market data and publish updates on-chain. Price threshold or time-interval presets automatically trigger the updates to ensure that the on-chain data stays relevant without pointless transactions. Thus, it greatly optimizes blockchain scalability through reduced redundant updates, all while keeping information timely. For instance, a lending protocol or a derivatives platform that depends on periodic price checkpoints could work perfectly with predictable updates of Data Push
