Datons Dev #1 — python-entsoe & python-eia Updates | AI Agent Toolkit for Energy Data

What we’ll demo

Two open-source Python libraries that let AI agents query European and US energy data — no slides, no setup walkthrough, just real queries answered in seconds.

The problem

Getting energy data from ENTSO-E or EIA means navigating complex APIs, understanding cryptic indicator codes, and writing boilerplate to parse XML/JSON responses
There’s no way to ask a plain-English question like “cheapest electricity in Europe right now?” and get an answer backed by real data
Combining European and US energy datasets in the same analysis requires switching between completely different APIs and authentication methods

What you’ll see

Cross-border flows: France-Germany electricity flows queried conversationally
Price comparison: Day-ahead prices across European bidding zones
US energy data: LNG exports, natural gas storage, electricity generation by source
Combined analysis: European + US energy data in the same conversation
Power-user workflows: Batch queries, Parquet caching for offline-first, CSV export from the editor

Architecture

VSCode + Claude Code

Conversational energy queries

Agent skills

python-entsoe

github.com/datons/python-entsoe

•Cross-border flows

•Day-ahead prices

•Generation by source

•45+ bidding zones

Agent skills

python-eia

github.com/datons/python-eia

•LNG exports

•Natural gas storage

•Electricity generation

•Petroleum data

ENTSO-E Transparency Platform

EIA API v2

Stack

Claude Code (Anthropic) in VSCode · python-entsoe · python-eia · Parquet

Who is this for

Analysts and researchers who want energy data without writing boilerplate API code
Developers building energy applications who need reliable data access libraries
AI enthusiasts curious about how agent skills turn natural language into structured data queries

Resources

python-entsoe - European energy data (ENTSO-E)
python-eia - US energy data (EIA API v2)