📊1 - Data Gathering

Smart AI adopts an exhaustive and methodical approach to data collection, harnessing information from a multifaceted array of sources. The process begins with the acquisition of data in its rawest form, sourced directly through our sophisticated cluster of Ethereum nodes. This setup ensures uninterrupted, real-time access to blockchain activities and transactions, capturing the dynamic essence of the network's operations.

Once the data is in our possession, it undergoes a rigorous indexing process. This crucial step is meticulously designed to organize the vast troves of information efficiently, thereby significantly enhancing its accessibility for detailed subsequent analysis. The indexing phase is foundational, as it converts the amassed data into a structured, searchable format, which is imperative for facilitating smooth and efficient retrieval and examination in later stages.

After the data has been indexed, it is then exposed to a series of advanced processing techniques. This transformation phase is where the raw data is dissected and reconstituted using a variety of sophisticated analytical methods, aiming to unearth and distill deeper, actionable insights. Specifically, at this juncture, we perform a transformation of raw transaction call data into meaningful metrics. For instance, we derive token parameters such as buy/sell fees, determine the potential of a contract being a honeypot, and assess whether token liquidity is locked. These refined insights are crucial for understanding the nuanced mechanics of token economics and on-chain interactions.