Neo4j Live: NeoArbi – Real-Time Crypto Arbitrage Intelligence with Neo4j and AI Agents
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Building Graph-Grounded Copilots with Neo4j in Fabric: Real-Time Recommendations & Substitutions
Chapters 9
- Play from Introduction
- Play from NeoArbi Overview: Arbitrage, Compliance & Forensics
- Play from Arbitrage Intelligence: How Crypto Arbitrage Works
- Play from Blockchain Forensics & Enforcement Cases
- Play from Global Regulatory Mapping & Data Pipelines
- Play from Live App Demo: Platform Overview
- Play from Arbitrage Intelligence in Action
- Play from Crypto Intelligence Agents & Reasoning Memory
- Play from Blockchain Forensics: Loading Live Transaction Data
NeoArbi uses Neo4j and AI agents to power a real-time crypto intelligence platform - covering arbitrage detection, market insights, blockchain forensics and regulatory analysis.
By modeling exchanges, assets and transactions as a connected graph, it uncovers pricing gaps, patterns, anomalies and risk signals across the crypto ecosystem. AI agents add context by learning from historical behavior and market dynamics, enabling deeper insights and continuous monitoring.
This session explores the graph data model, key Cypher patterns and the agent architecture behind these capabilities - and shows how graph-based intelligence connects market, compliance and risk insights in one unified view.
Guest: Arthur Namias de Crasto ( linkedin.com/in/arthur-namias-de-crasto-49613414 (opens in a new tab) )


