List the datasets
curl -H 'Authorization: Bearer ak_your_key' \
https://api.ausdata.io/v1/datasets/apra Fetch data
curl -H 'Authorization: Bearer ak_your_key' \
'https://api.ausdata.io/v1/data/apra/ADI_KEY_STATS?limit=10' Inspect a dataset's schema
curl -H 'Authorization: Bearer ak_your_key' \
https://api.ausdata.io/v1/describe/apra/ADI_KEY_STATS Canonical series (3)
Stable IDs that resolve to a flat {date, value} time series. Each links to a ready-to-run page.
| ID | Title | Frequency |
|---|---|---|
| AU.BANK.HOUSING.LOANS | ADI Housing Loans (Industry), Australia | quarterly |
| AU.BANK.INTEREST.INCOME | ADI Interest Income (Industry), Australia | quarterly |
| AU.BANK.TOTAL.LOANS | ADI Total Loans and Advances (Industry), Australia | quarterly |
Use it from an AI agent (MCP)
Australian Prudential Regulation Authority also ships as a free, MIT-licensed Model Context Protocol server on PyPI. It gives Claude and other agents search, describe, get_data and latest tools over APRA data, no gateway key required.
pip install apra-mcp Attribution for every response is returned in meta.sources[].attribution. Reproduce it when you publish.