Your newly deployed DeFi lending protocol runs perfectly on the testnet, but less than two hours after the mainnet launch, the liquidation module suddenly triggers an error—due to a price update delay, the ETH valuation of a certain collateralized position is stuck at the price of five minutes ago, instantly being judged by the algorithm as insufficient collateral. At this moment, you discover that the data source is coming from three Oracle services with varying response speeds.
This chaotic scenario of data asynchrony is the most hidden risk in the decentralized finance (DeFi) field.
A dual-engine driven data collaboration network
APRO's Data Push and Data Pull dual-mode structure acts like a double insurance mechanism in the data flow field. The former is like a continuously operating early warning system, while the latter is like an on-call ambulance fleet.
Proactive data push: building a safety buffer
The Data Push mode relies on a network of independent node operators, which continuously monitor market dynamics like distributed sensors. When price fluctuations reach a preset threshold or a specific time point, encrypted and verified data is automatically pushed onto the chain.
While not offering millisecond-level response, this mechanism provides crucial data buffering for smart contracts:
- Preventing cascading liquidations caused by flash crashes
- Mitigating temporary market noise
- Providing economical data solutions for non-high-frequency scenarios
On-Demand Data Pull: Conquering the Millisecond Battlefield
Faced with flash loan attacks or fleeting arbitrage opportunities, the Data Pull mode demonstrates precise control. By optimizing node routing and compressing transmission protocols, it achieves sub-second data response times.
This mode is particularly well-suited for the following scenarios:
- Real-time price oracles for DEXs
- Margin monitoring for derivative contracts
- Price synchronization of cross-chain assets
The Art of Dynamic Balancing
The two modes are not simply parallel but dynamically collaborate through intelligent scheduling algorithms. When on-chain monitoring detects abnormal fluctuations, the system automatically increases the Data Push frequency; during periods of low trading activity, the more economical push mode is prioritized.
This resilient architecture allows data services to withstand sudden market storms without incurring unnecessary costs for continuous high-frequency updates.
(End) @APRO-Oracle $AT #APRO
