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I recently conducted a small experiment using Web3 data tools. Imported information scraped from several blockchain data sources into Claude, allowing it to directly generate visual charts.
The process is as follows: first, extract trading data from DexScreener and other DEX data aggregation platforms, then organize it into a structured format using a crawler tool, and finally feed it to AI for automatic chart generation.
The results are quite good. This method is especially suitable for quickly analyzing on-chain trends, tracking liquidity changes, or benchmarking the performance of different trading pairs. It saves a lot of time compared to manual data processing.
Friends with ideas can give it a try. This approach is quite helpful for data-driven Web3 research.