Real-Time Energy Supply Risk Monitoring — How I Combined 4 Government Data Sources Into One API

Last year, a single tanker blockage in the Strait of Hormuz caused Brent crude to spike 8% in two hours. Traders who had real-time visibility into tanker positions, port congestion, and freight rates saw it coming. Everyone else was reading about it on Bloomberg 30 minutes later. I built Energy Volatility — an API that combines four government and maritime data sources into a single risk assessment endpoint. Here's the architecture, the data sources, and how you can use it. The Problem Energy supply risk analysis requires monitoring multiple disconnected data sources: AIS (Automatic Identification System) — Real-time tanker positions from maritime transponders Baltic Dry Index (BDI) — Freight rate volatility indicator Port Authority Data — Berthing delays, congestion levels, vessel queues Geopolitical Intelligence — Conflict severity, sanctions, military activity Each source has its own API format, authentication, rate limits, and data schemas. Building a composite risk view means writ