

DeFiLlama’s founder, known as 0xngmi, has accused Blockworks of serious misconduct in their data usage practices. According to 0xngmi, Blockworks allegedly resold free data from DeFiLlama through its paid analytics service, charging $4,500 per year. These allegations are especially significant, as they suggest Blockworks violated DeFiLlama’s data usage terms and conditions.
DeFiLlama is a decentralized financial data aggregator that provides the crypto community with a wide range of metrics and analytics free of charge. The platform is a trusted source within the DeFi ecosystem, serving millions of users who rely on its information for investment decisions. The allegations emerged at a particularly sensitive moment, coinciding with Blockworks’ announcement to shutter its news division and shift focus toward data-driven business operations.
Dan Smith, who heads Blockworks’ data division, categorically denied 0xngmi’s accusations. Smith stated that Blockworks had stopped using DeFiLlama’s data several months ago. However, this response fueled further controversy when 0xngmi provided evidence of recent data updates.
0xngmi’s evidence included screenshots and timestamp logs, demonstrating that DeFiLlama’s data was still in use on Blockworks’ platform until very recently. This escalation raised serious concerns about transparency and integrity in crypto industry data practices. The dispute intensified across social media, with both sides defending their positions and presenting supporting arguments and evidence.
The controversy sparked widespread reaction from the crypto community on X (formerly Twitter). Many users sharply criticized Blockworks’ data practices. Criticism extended beyond allegations of reselling free data, touching on the company’s strategic decisions, including recent layoffs.
The crypto community, which values transparency and decentralization, views this issue as a major ethical breach. Industry analysts warn the controversy could damage Blockworks’ reputation over the long term, especially given the critical importance of trust and transparency in this sector. The ongoing discussion underscores the need for clear data licensing and usage policies throughout the crypto ecosystem.
This case highlights the necessity of clearly defined data usage terms and conditions within the blockchain and crypto industry. Many platforms offer data for free, expecting it to benefit the community and foster ecosystem growth, not to be resold commercially.
The primary takeaway from this controversy is the importance of transparency in data-driven business models. Companies leveraging open or free data sources must clearly communicate how the data is used, processed, and monetized. The incident also underscores the need for robust enforcement and oversight mechanisms, especially in the rapidly evolving decentralized finance sector.
Looking ahead, this case is likely to prompt data platforms to tighten their usage policies and enforcement, while analytics firms will need to be more transparent about data sources and business practices to preserve community trust.
DeFiLlama alleges that Blockworks resold its free data on a paid platform without authorization or attribution. Blockworks is accused of taking public DeFiLlama data and marketing it as a premium product to paying clients.
DeFi data providers can safeguard their free data using clear, limited licenses, watermarking technologies for tracking, user agreements that prohibit resale, active monitoring, and legal action against unauthorized usage.
Yes. Using DeFiLlama’s free data for commercial services without permission violates intellectual property rights and licensing terms, constituting a serious breach of data agreements.
This incident drives greater transparency and accountability across the DeFi ecosystem. It reinforces open-source principles, ensures public data remains freely accessible, and bolsters trust in protocols that respect decentralization values.
Choose platforms with open data transparency, a proven track record, and an active community. Verify calculation methodologies, cross-check data across sources, and avoid platforms that resell free data at high markups. Prioritize decentralized protocols and independent audits.











