ZachXBT Offers $5K Bounty to Expose AI Spam on InfoFi Platforms

Blockchain investigator ZachXBT announced a $5,000 bounty to scrape user data from InfoFi platforms — including Kaito Yaps, Galxe, Layer3, Cookie, Wallchain and Xeet — aiming to document alleged AI-driven spam, coordinated attention farming and low-quality posts that reward volume over insight. The bounty requests usernames, user IDs, on-chain addresses and activity scores; ZachXBT later expanded to per-platform rewards after Xeet’s dataset (about 144,000 X accounts) was reportedly delivered. Critics argue InfoFi reward models and algorithmic scoring have encouraged automated replies and “reply mercenaries,” diluting organic engagement. Supporters of InfoFi say the systems democratize access to research and incentivize participation. The controversy has sparked calls for better moderation and quality metrics across reward-based information platforms, and raises questions about authenticity, token distribution dynamics after token-generation events (TGEs), and potential regulatory scrutiny. Key SEO keywords: InfoFi, AI spam, Kaito Yaps, Galxe, Layer3, Xeet, bounty, user data.
Neutral
The announcement is primarily a reputational and community-integrity story rather than a direct market-moving event tied to a major cryptocurrency’s fundamentals. It highlights risks in InfoFi platforms that could affect user trust and token utility for small, reward-driven projects. Short-term market reaction is likely muted: tokens tied to the named InfoFi projects could see localized volatility or negative sentiment if the bounty uncovers large-scale manipulation or bot-led activity. However, major assets (BTC, ETH) and broader market liquidity are unlikely to be materially affected. In the medium to long term, findings that demonstrate systematic manipulation could prompt stricter moderation, changes to token distribution models, or regulatory attention—outcomes that may reduce speculative pumping mechanisms around InfoFi token launches and produce healthier engagement metrics. Historical parallels: past revelations of bot networks or coordinated wash trading on token launch platforms led to temporary sell-offs and stricter platform policies, but did not materially change top-tier crypto valuations. Traders should monitor disclosures from ZachXBT, on-chain address revelations, and any announcements from the implicated platforms; adjust position sizes in small-cap InfoFi tokens, avoid fresh listings heavily promoted via InfoFi channels, and watch for spikes in on-chain activity or unusual token transfers as early indicators.