Use Cases

SolStats MCP is designed to serve users across the crypto spectrum: from individual traders to institutional dashboards. Below are example use cases that demonstrate the protocol's practical applications.

Individual Traders

• Performance Tracking: Understand trading PnL, token exposure, and strategy trends over time.

• Risk Profiling: Use AI-generated risk scores to evaluate portfolio health and behavioral consistency.

• Wallet Monitoring: Track competitor wallets, whales, or known addresses for behavioral insights.

Analysts & Researchers

• Network Behavior Studies: Use bulk analytics to evaluate community activity, token velocity, and protocol-specific trends.

• Anomaly Detection: Identify wallets with outlier behavior for fraud, exploit, or manipulation signals.

• Behavioral Segmentation: Leverage clustering and AI summaries to create high-level behavioral cohorts.

Product Builders

• Dashboard Integration: Use SolStats’ API to inject wallet intelligence directly into your frontend.

• Custom Reports: Programmatically request summaries, risk flags, or insights for embedded user experiences.

• Signal Marketplaces: In future releases, external apps can subscribe to or trade on predictive insight feeds via MCP.

SolStats abstracts away the noise of on-chain data and turns wallet behavior into context-rich, actionable knowledge.