According to blockchain data, the decentralized application 'Clanker', built on AI agents, has collected over $34 million in fees.
According to the 'Clanker Fees' Dune data dashboard, Clanker's liquidity pool fees have reached $34,417,863. On November 26, 2024, the fees for that day reached $1.1 million.
Clanker's official website shows that the number of tokens deployed through its AI agents has reached 355,179, creating a market cap of $172.3 million, with the head earning $34 million in fees through it.
The website explains: 'Clanker is an AI that launches your crypto tokens. Give it a name and symbol, and it automatically handles deployment, market creation, and fee allocation.'
Related: Trading Bots vs AI Agents: Everything You Need to Know
Fully automated Meme coin issuance
Clanker promises token creators to earn a 1% fee from trading in liquidity pools on decentralized exchanges. Users do not need to have cryptocurrency knowledge, just 'provide token details'.
Easily launch tokens through the @clanker bot or by interacting with the Clanker website. Developers can also use a dedicated software development kit.
Another Dune data dashboard shows that the cumulative trading volume of tokens created through Clanker has approached $3.48 billion, peaking on November 27, 2024, nearly reaching $61 million.
Clanker has currently been updated to its fourth protocol version, which was launched in mid-June, and this version alone has deployed 7,819 tokens.
Related: 2025 will be the year of AI agents, Web3 executives say
The rise of AI agents in the crypto space
Shamir Ozery, co-founder and CEO of the Web3 AI agent project Ensemble, told Cointelegraph: 'AI agents are starting to demonstrate meaningful behavior in on-chain activities on Base.' He noted that Clanker's average daily fees increased from about $65,000 in June to $89,000 in July, a growth of 37%.
He added that this growth stems from agents being easier to use and more trusted, stating that these agents eliminate the complexity of decentralized finance, 'helping users make better decisions without needing to understand the technical details.'
According to Ozery, this growth indicates that agents are not just a future concept and have already contributed to network usage.
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