BlockSight provides an AI-powered behavioral intelligence API that helps blockchain applications detect fraud, assess liquidity risk, and predict wallet churn in real time. The platform delivers explainable risk scores with contributing drivers across Ethereum, Base, and other chains, enabling teams to act on early signals before they escalate. Its predictive models forecast wallet behavior rather than merely reporting historical activity.
Funding
Funding not disclosed
Founders
Product
Problem
Blockchain applications face significant challenges in detecting fraudulent wallets, assessing liquidity risks, and retaining users, as traditional analytics tools often provide only historical data without actionable foresight. Teams struggle to identify risky counterparties before transacting and cannot easily predict which wallets are likely to become inactive or engage in malicious behavior, leading to financial losses and degraded platform trust.
Solution
BlockSight is an AI-powered behavioral intelligence layer delivered as an API that provides real-time wallet scoring across multiple blockchain networks. The platform analyzes on-chain activity to generate predictive scores for fraud risk, churn likelihood, and liquidity stability, with every result accompanied by explainable drivers that clarify the reasoning behind each score. By forecasting what a wallet will do next rather than just reporting past behavior, BlockSight enables applications to act on early signals before problems escalate. The API-first design allows seamless integration into existing platforms, while cross-chain support across Ethereum, Base, and other networks ensures broad coverage for teams monitoring diverse blockchain ecosystems.
Target Audience
Primary customers are blockchain application developers, DeFi protocols, exchanges, and compliance teams that need real-time behavioral intelligence to manage counterparty risk, prevent fraud, and improve user retention across their platforms.
Features
- Real-time wallet risk scoring for fraud detection, including AML and sanctions risk assessment with risk categories and stability tiers
- Predictive churn intelligence that flags wallets likely to go inactive, with prediction windows, confidence levels, and engagement trend analysis
- Liquidity monitoring tools that assess exit likelihood, LP activity, and historical liquidity behavior with trend indicators
- Governance participation scoring that identifies declining engagement and potential bad actors within protocol communities
- Explainable AI outputs that provide contributing factors with every score, eliminating black-box decision-making
- Cross-chain API supporting Ethereum, Base, and additional networks for broad blockchain coverage