MemeChain: A Multimodal Cross-Chain Dataset for Meme Coin Forensics and Risk Analysis
Alberto Maria Mongardini, Alessandro Mei

TL;DR
MemeChain is a comprehensive, multimodal dataset covering over 34,000 meme coins across multiple blockchains, integrating on-chain and off-chain data to facilitate forensic analysis and risk assessment of the volatile meme coin ecosystem.
Contribution
This paper introduces MemeChain, the first large-scale, cross-chain dataset that combines on-chain data with off-chain artifacts for meme coin analysis.
Findings
Visual branding is often missing in low-effort meme coins.
Many meme projects lack functional websites.
A significant portion of tokens become inactive within 24 hours.
Abstract
The meme coin ecosystem has grown into one of the most active yet least observable segments of the cryptocurrency market, characterized by extreme churn, minimal project commitment, and widespread fraudulent behavior. While countless meme coins are deployed across multiple blockchains, they rely heavily on off-chain web and social infrastructure to signal legitimacy. These very signals are largely absent from existing datasets, which are often limited to single-chain data or lack the multimodal artifacts required for comprehensive risk modeling. To address this gap, we introduce MemeChain, a large-scale, open-source, cross-chain dataset comprising 34,988 meme coins across Ethereum, BNB Smart Chain, Solana, and Base. MemeChain integrates on-chain data with off-chain artifacts, including website HTML source code, token logos, and linked social media accounts, enabling multimodal and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBlockchain Technology Applications and Security · FinTech, Crowdfunding, Digital Finance · Cybercrime and Law Enforcement Studies
