Last week, while helping a junior with a blockchain project research, he almost cried in front of a screen full of code data: "Just crawling the historical transaction records of a public chain took three days, and I still ended up missing nearly ten thousand records!" He pointed at the intermittent charts on the screen, and those curves that should have been continuous looked like they had been nibbled at, making me anxious too.

This reminded me of my experience six months ago. At that time, I was responsible for analyzing user behavior of a certain DeFi protocol, needing to call on-chain data from the past year. I searched three data platforms, but either the interface response was as slow as a snail, or the returned fields were a mess—once, after much effort, I exported a hundred thousand records, only to find that nearly thirty percent of the timestamps were wrong. In the end, I had to painstakingly verify them manually for five consecutive nights, and by the time of the project report, I was utterly exhausted.

It was after that experience that a senior in data development recommended Chainbase to me. "Try its API; it’s ten times more reliable than writing a crawler yourself." I skeptically called an "address holding history" interface, thinking I would have to wait a long time, but to my surprise, it returned structured data in just three seconds, even clearly labeling the counterparties of each block's transactions and changes in Gas fees. Even more surprisingly, it also had a built-in data cleaning feature that automatically removed invalid transaction records from the chain.

I later understood that Chainbase's strength comes from its "distributed data indexing network." Unlike traditional data platforms that rely on centralized servers to store data, it synchronously captures original data from multiple public chains through global nodes and then standardizes it using a unified algorithm model. This technology of "multi-chain data aggregation + real-time indexing" not only resolves the issues of scattered on-chain data and chaotic formats but also compresses query response times to the millisecond level, which is a lifesaver for people like us doing in-depth analysis.

Now the junior's research project has been successfully completed, and he messaged me yesterday: "The user growth curve generated using Chainbase is said by the mentor to be more accurate than the industry reports!" #chainbase @Chainbase Official $C