Traditional TCA is a batch-driven, manual process prone to latency, limiting its value for real-time execution improvement. A custom multi-agent workflow automates this by ingesting execution reports, market data, and benchmark feeds continuously. Specialized agents—for data validation, cost decomposition, and pattern detection—operate in an orchestrated graph, turning raw fills into immediate, actionable insights on venue performance, algorithm effectiveness, and market impact, directly addressing the operational bottleneck of delayed feedback.




