Multi-Source Aggregation

Definition ∞ Multi-source aggregation is the process of collecting and combining data from multiple distinct origins to form a more comprehensive and accurate dataset. In the context of digital assets, this often involves gathering price feeds, market data, or on-chain information from various exchanges, oracles, and blockchain explorers. The aim is to reduce reliance on any single source and to provide a more robust and reliable view of market conditions or network state. This approach helps mitigate risks associated with data manipulation or single points of failure.
Context ∞ Multi-source aggregation is critical for decentralized finance (DeFi) applications, especially for oracle services that supply real-world data to smart contracts. The situation involves ongoing advancements in data infrastructure to ensure the integrity and timeliness of aggregated information. News frequently discusses how protocols leverage diverse data sources to enhance security and accuracy for lending, derivatives, and other financial products. Its proper implementation is essential for the reliability of decentralized systems.