Australian odds data that fits naturally into Python workflows
Python is a common choice for data ingestion, analytics, modelling and backend services. PuntersEdge can be called from those workflows using standard HTTP tooling, then transformed into the data structures your application or research stack expects.
Keep racing and sports integrations aligned with their own endpoint families: use racing endpoints for racing-specific workflows and sports endpoints for sport-key based market data. Your Python code can then handle persistence, analysis and presentation downstream.
- Python backend integration
- Notebook-friendly requests
- Data pipeline inputs
- Racing and sports workflows
- Analytics-ready JSON
Example API calls
# The sport-key catalogue
curl "https://api.puntersedge.online/v1/sports" \
-H "X-API-Key: YOUR_API_KEY"
curl "https://api.puntersedge.online/v1/racing/next-to-go?num_races=5&country=AU" \
-H "X-API-Key: YOUR_API_KEY"