Etherscan, a leading Ethereum blockchain explorer, has unveiled its new “Advanced Filter” tool, allowing users to refine and customize their search results. Currently in beta, the tool enables users to extract valuable insights and conduct focused analysis by leveraging a range of criteria based on public data from the Ethereum network.
Etherscan’s Advanced Filter
The Advanced Filter empowers users to narrow down their search results based on specific parameters, including transaction type, function name, duration, amount, and asset details, as well as addresses involved in the transactions. This functionality enables users to concentrate on transactions, addresses, and activities most relevant to their research, monitoring, or investigative requirements.
One notable application highlighted by Etherscan is monitoring non-fungible token (NFT) lending activities on platforms like Blur. Analysts can leverage the filter fields to easily track the top NFT collections used as loan collateral, as well as gain insights into borrowing transactions, popular NFT collections in NFT lending, and the demand for NFT-backed loans.
Although the Advanced Filter tool has received positive feedback from on-chain crypto investigators and data analysts on platforms like Twitter, it is important to note that it is still in beta and has certain limitations. Currently, it does not provide an option to hide tokens with poor reputations, and an ignore list feature is not available at this stage.
Streamlining On-Chain Analysis
In light of recent hacks and scams in the crypto sector, the introduction of the Advanced Filter tool is seen as a welcome development. With an increase in incidents involving hacks and phishing attacks on crypto platforms, the tool is expected to facilitate the tracing of fund movements associated with such illicit activities.
As the crypto community continues to explore the tool’s capabilities, suggestions have been made to enhance its features, such as adding public name tags of addresses to Etherscan’s API. This would reduce the need for on-chain detectives to scrape the website manually.
While the crypto sector experienced a significant number of security incidents in April, resulting in a loss of over $52 million, May witnessed a notable decline. According to data from on-chain analytics service Beosin EagleEye, the losses in May amounted to $19.6 million, representing a substantial 79% drop compared to the previous month.