🧩Wide Application Scenarios

Developers are the cornerstone of Adot. Developers can implement tools available in the Adot ecosystem to acquire and composite the data by their own demands and support their applications, including but not limited to the following application scenarios.

Social

By parsing social user identities and aggregating social data, Adot is capable of generating relationship graphs and knowledge networks based on blockchain wallet addresses, helping Web3 social applications build powerful search capabilities and complete datasets.

Aggregation

Adot aggregates related information to enrich the reference content regarding tokenized assets, which will help traders to browse and trade assets, and potentially enhance the value of assets.

Publishing

Adot aims to create a more effective content distribution channel to empower the creator economy. Adot breaks down the walls across applications and protocols and improves the traditional sorting algorithm that aims to distribute high-quality content to more targeted audiences and therefore bring creators exponential traffic and even royalty income.

Analysis

As introduced, Adot indexes a high and diverse coverage of data sources, which makes it a powerful reference regarding the analytics purpose. From analyzing the liquidity of an NFT project based on its transaction data to taking a deeper analysis of a newly founded community by its related social data, Adot can fulfill thirsty users with clean, intensive, complete, and well-structured data.

AI

Adot is integrating AI into search engines. AI is a powerful technology to return more accurate, personalized, interactive, and even humanized outputs as mentioned previously. Conversely, sorted, structured, and diverse data available from search engines can also empower AI to train models.