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Harpie Launches Background Check API to Safeguard Crypto Users and Combat Scams

Harpie, a provider of crypto security solutions, has unveiled its latest enterprise tool, the Background Check API. This API aims to detect scammer addresses on Ethereum by analyzing vast amounts of on-chain data. By integrating the Background Check API, crypto projects and platforms can protect their users from interacting with scammers, effectively reducing risks without compromising user experience.


Crypto scams have become a thriving billion-dollar industry, posing significant risks to users during transactions. The responsibility of evading attacks such as website hijackings, social engineering scams, and phishing assaults has largely fallen on individual users. To address this escalating concern, Harpie's API enables seamless integration of powerful tools into crypto and blockchain projects, enhancing security measures and safeguarding users' interests.


Daniel Chong, co-founder and CEO of Harpie, emphasized the need for robust protection against crypto theft, stating, "The assets in your crypto wallet should be as safe as the money in your bank account. We created Harpie's Background Check API to arm Web3 projects with critical tools to build secure and scam-free crypto experiences, bringing peace of mind to users."


The Background Check API provides human-readable security analysis of transactions, addresses, and contracts, offering security recommendations based on the analyzed data. It constantly tracks the latest attack vectors and incorporates data on over 2 million known cyber criminals, honeypot addresses, and NFT wash traders.


Revoke.Cash, a popular security tool that helps users prevent common crypto scams by regularly revoking active allowances, leverages Harpie's Background Check API to power its platform's data logs and share essential details with users prior to signing allowances.

Furthermore, Harpie's data engine powers the newly launched Address Scanner, a free tool that allows individuals to scan Ethereum addresses for suspicious or malicious activities like phishing or cybercrime. The Address Scanner examines transaction histories, cross-references addresses with databases of known criminals, and analyzes transaction patterns to identify potential risks.


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