Tech Stack

Neo4j graph engine. Solana Token-2022 settlement. ElGamal confidential transfers. Letta AI agents.

Graph Engine

Temporal queries, spatial relationships, and graph algorithms for financial network analysis.

Temporal Queries

Query graph state at any point in time using timestamped relationships

MATCH (m:Member)-[r:VALIDATES]->(t:Transaction)
WHERE r.timestamp >= datetime('2024-01-01')
  AND r.pohSlot > 123456789
RETURN m, r, t
ORDER BY r.pohSlot DESC

Spatial Relationships

Geographic and network proximity calculations

MATCH (m1:Member)-[:LOCATED_IN]->(c1:Country),
	  (m2:Member)-[:LOCATED_IN]->(c2:Country)
WHERE distance(c1.coordinates, c2.coordinates) < 1000
RETURN m1, m2, distance(c1.coordinates, c2.coordinates) as km

Graph Algorithms

Shortest path, community detection, and centrality measures

CALL gds.shortestPath.dijkstra.stream('arbitrage-graph', {
  sourceNode: id(startCurrency),
  targetNode: id(endCurrency),
  relationshipWeightProperty: 'exchangeRate'
})
YIELD sourceNode, targetNode, path, totalCost