Data Aggregation Models

Data aggregation models define how decentralized oracle networks collect, clean, and verify information from various off-chain sources. These models are designed to handle data from disparate APIs, market exchanges, and reporting services to produce a single, reliable price or data point.

The process often involves calculating a weighted average or using a medianizer to filter out outliers or malicious data inputs. By employing these models, oracle networks can provide robust and resilient data streams that are resistant to manipulation.

The choice of model depends on the type of asset and the specific requirements for precision and frequency of updates. These models are essential for the accurate pricing of Real World Assets, ensuring that smart contracts always operate with the most current and verified market data.

They represent the intelligence layer of the oracle infrastructure.