EU macroeconomic analysis with Deep Agents, LangSmith, and the You.com Finance Research API

Macro research desks require efficient identification and analysis of anomalous economic performance among countries, but the process is often hampered by fragmented data sources. To address this, an AI-driven agent was developed to streamline the analysis of 2025 GDP data for EU member states, identifying Ireland's significant growth and Germany's contraction, among other findings. The agent utilizes a methodical process involving multiple subagents, each handling distinct tasks like data retrieval, anomaly detection, and in-depth analysis. The architecture is built on the Finance Research API and LangSmith, ensuring traceability and transparency by logging every decision and data point back to its source. This system not only provides comprehensive reports but also maintains a detailed audit trail, crucial for compliance with regulations such as MiFID II, DORA, and the EU AI Act. The approach is designed to be modular and adaptable, supporting various financial research applications and allowing customization to fit specific workflows.

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