Welcome to the Aurora Contract Dashboard. This dashboard provides insights into the usage of the Aurora contract on the NEAR blockchain. Aurora is a solution that allows users to execute Ethereum smart contracts on NEAR, providing faster transaction finalization, scalability, and environmental sustainability. By interacting with Aurora, users can access the vast ecosystem of Ethereum smart contracts while taking advantage of the performance benefits of NEAR.

This dashboard provides a breakdown of the contract interactions, user interactions, and unique user interactions with the Aurora contract by day. Additionally, we provide insights into the number of distinct users that have interacted with the Aurora contract on NEAR. This data will help us understand the adoption and usage of Aurora and provide insights into the broader trend of Ethereum smart contracts being executed on NEAR.

We hope that this dashboard will help you gain a better understanding of the Aurora contract's usage and provide valuable insights into the growth and adoption of this exciting solution.

To gain insights into the usage of the Aurora contract on the NEAR blockchain, we'll use a data-driven approach. The Near Protocol database contains a table called near.core.fact_transactions, which records all transactions that occur on the Near network. By analyzing this data, we can extract meaningful metrics that shed light on the adoption and usage of Aurora.

To begin, we'll analyze the number of unique users and contracts that have interacted with Aurora on the Near network. This information is crucial to understanding how many users and contracts are engaging with Aurora, and if there is growth or decline over time.

Finally, we'll analyze user retention to gain insights into how often users are returning to Aurora after their initial interaction. We can use near.core.fact_transactions to classify users based on their interactions with Aurora and track their behavior over time. By doing so, we can understand if Aurora is retaining users or if there are issues with user engagement.

Overall, this data-driven approach will provide valuable insights into the adoption and usage of Aurora on the NEAR blockchain. By analyzing the unique users and contracts, daily interactions, and user retention, we can gain a better understanding of how Aurora is being used and where improvements can be made.