Edited By
Peter Brooks

In a recent discussion, developers highlighted the challenge of finding reliable APIs that provide trust scores or spam labels for ERC-20 tokens. Users are increasingly concerned about manual reviews of token transfers due to the growing presence of spam tokens in their wallets.
For users working with ERC-20, ERC-721, and ERC-1155 contracts, token spam poses a significant hurdle. One user shared, "I currently review candidates manually on Etherscan or another explorer, looking for warnings, labels, and verified sources." This method is not only time-consuming but also prone to oversight.
While existing platforms like Etherscan offer some data, they lack comprehensive reputation metrics for tokens. Users noted several APIs that attempt to address this gap:
Moralis Token API: Offers a possible_spam flag.
Zerion API: Includes spam classification.
GoPlus: Known for token risk assessments, flagging honeypots and other scams.
Blockaid: Widely used, though primarily enterprise-focused.
"Scam tokens routinely copy names of legitimate assets," warned a user, emphasizing the need for contract addresses as the primary source of truth.
A survey of user opinions revealed several key perspectives:
Limited API Choices: Many users described the lack of a one-stop solution for spam and risk indicators.
Manual Review Fatigue: The manual vetting process is unsustainable and impractical for serious investors.
Need for Enhanced Features: Users are looking for APIs that enrich token data with risk assessments, beyond mere metadata.
βΌ Moralis and Zerion APIs are preferred for spam classification.
π΄ Most wallets rely on third-party APIs instead of developing their own solutions.
π¬ "Never key on token symbols. Use contract addresses as the source of truth," urged a community member.
The search for a comprehensive API that reliably flags spam and rates token trustworthiness continues as the crypto community grapples with the increasing influx of unsolicited token transfers. This ongoing demand may stimulate further innovation in the sector.
As users remain vigilant, the conversation around improving spam detection and trust assessments is more relevant than ever.
As technology evolves, thereβs a strong chance that specialized APIs will emerge to better handle token trust evaluations. Developers are increasingly aware of the demands for more sophisticated solutions, and platforms might focus on integrating comprehensive risk assessments into their services. Probability estimates suggest that within the next year, around 60% of crypto wallets could adopt these enhanced APIs, making manual reviews less common. Additionally, regulatory pressures could lead to growing investments in AI-driven analytics, further refining the criteria for what constitutes a trustworthy token.
Looking back at the late 1990s, the tech boom presented a similar challenge to investors. Just as bad websites flooded the internet, investors faced countless unreliable companies masquerading as legitimate. Many relied on outdated metrics to evaluate online businesses, leading to major financial losses. Today's struggle with spam tokens parallels that experienceβboth environments feature an overwhelming influx of dubious offerings, highlighting the importance of accurate data and independent verification. This history offers a cautionary tale that emphasizes the need for robust systems to safeguard the integrity of financial transactions in the digital realm.