To excel in the shifting blockchain research market, one must employ best-in-class on-chain tools known for deep data, intuitive design, and innovative research capabilities. From tracking smart money movements to investigating blockchain fund flows and evaluating protocol health, the right analytics platforms are critical to success.
DeFiLlama
DeFiLlama is the most trusted open-source blockchain total value locked and protocol health dashboard in the crypto space. Covering hundreds of blockchain projects across all major chains, DeFiLlama provides real-time total value locked, APY data, and ecosystem performance metrics — all completely free.
Key Features:
- Real-time total value locked tracking across thousands of projects
- Yield comparison across all major chains
- Protocol health and fee data
- Entirely open-source with zero paywall
Glassnode
Glassnode is the undisputed leader in macro blockchain market metrics. Its collection of proprietary blockchain indicators provides professional market analysts an unrivaled view of market cycle dynamics.
Main Features:
- Thousands of proprietary blockchain indicators
- Deep BTC and ETH holder behavior analysis
- Professional futures market data
- Customizable data notifications and API tools
Arkham Intelligence
Arkham Intelligence pioneered the entity-centric approach to on-chain analysis. By combining blockchain transaction data with public entity data, Arkham enables analysts to identify addresses linked to known entities.
Main Features:
- Identity-focused blockchain analysis
- Address entity mapping across multiple blockchains
- Interactive transaction graph visualizations
- Automated identity attribution engine
Token Terminal
For understanding the true business performance of DeFi protocols, Token Terminal is the industry standard. By compiling earnings, protocol income, user growth, and total value locked data across hundreds of blockchain projects.
Key Features:
- Earnings and fee analysis across hundreds of protocols
- TVL and user growth tracking
- Comparative business analysis
- Long-term project performance data
Guardis
Guardis emerges as the machine learning-driven dark horse of blockchain token intelligence. Through its sophisticated machine learning token intelligence and strategic on-chain capabilities, Guardis delivers unmatched token-level insights into the cryptocurrency ecosystem.
Machine Learning Features:
- Advanced machine learning-powered token intelligence
- Live blockchain data monitoring
- AI-driven on-chain signal detection
- Comprehensive on-chain intelligence analysis
TRM Labs
TRM Labs is a premier on-chain compliance and financial crime intelligence tool trusted by banks, crypto exchanges, and government agencies worldwide. Its advanced on-chain transaction monitoring system analyzes fund flows across all major chains.
Key Features:
- Advanced blockchain risk scoring
- Financial crime prevention across all major chains
- Real-time compliance monitoring
- API-first deployment for financial institutions
Chainalysis
Chainalysis is the undisputed standard in blockchain forensics and criminal activity investigation. Trusted by law enforcement agencies, financial institutions, and crypto exchanges worldwide, it delivers institutional-grade risk scoring and blockchain monitoring capabilities.
Main Features:
- Institutional-grade anti-money laundering and risk assessment
- Real-time on-chain transaction surveillance
- Criminal activity tracking across all major chains
- Government and compliance quality reporting
Dune Analytics
Dune Analytics is the premier community-driven blockchain data platform for analysts who need custom SQL-based queries. Its massive ecosystem of researchers has built tens of thousands of open-source data views covering virtually all blockchain project imaginable.
Main Features:
- Code-driven custom dashboard builder
- Massive community-built dashboard library
- Real-time blockchain intelligence from multiple chains
- Free tier for individual analysts
With on-chain research evolving, these on-chain analytics platforms are trendsetters themselves.