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Australian Energy Market Operator

8 curated datasets · Licensed AEMO Copyright Permissions.

List the datasets

curl -H 'Authorization: Bearer ak_your_key' \
  https://api.ausdata.io/v1/datasets/aemo

More examples: fetch data, inspect a schema

Fetch rows from one dataset:

curl -H 'Authorization: Bearer ak_your_key' \
  'https://api.ausdata.io/v1/data/aemo/daily_summary?limit=10'

Inspect a dataset's schema and filters:

curl -H 'Authorization: Bearer ak_your_key' \
  https://api.ausdata.io/v1/describe/aemo/daily_summary

Datasets (8)

Every Australian Energy Market Operator dataset, one call to /v1/data/aemo/{id} as JSON or CSV.

Dataset	What it is
daily_summary	NEM Daily Summary (settled, prior trading day)
dispatch_constraints	NEM Dispatch Constraints (5-minute)
fcas_prices	NEM Volume-Weighted Average FCAS Prices - Daily
generation_scada	NEM Unit Generation SCADA (5-minute)
interconnector_flows	NEM Interconnector Flows (5-minute)
predispatch_30min	NEM Predispatch - 30-minute (~40h horizon)
rooftop_pv	NEM Rooftop PV - Actual + Forecast (30-minute)
trading_price	NEM Trading Price - 30-minute Regional ($/MWh)

Use it from an AI agent (MCP)

Australian Energy Market Operator also ships as a free, MIT-licensed Model Context Protocol server on PyPI, giving Claude and other agents search, describe, get_data and latest over AEMO data, no gateway key required.

pip install aemo-mcp

Attribution for every response is returned in meta.sources[].attribution. Reproduce it when you publish.