Prediction Markets API Pricing Use Cases
Sample pricing simulations to help estimate Prediction Markets API usage across REST workflows.
Prediction Markets API Pricing Use Cases
These use cases show how Prediction Markets API pricing can be estimated across common REST usage patterns.
Each example is based on a specific scenario to help customers understand API calls, Usage Credits, Pay As You Go pricing, committed plans, and overages.
These examples are pricing simulations only. Actual usage may vary depending on the number of markets, endpoints used, polling frequency, pagination, retries, and daily request volume.
Before using these estimates
Prediction Markets API usage is based on API calls.
An API call is counted each time you perform an action using the API, such as requesting market data, fetching market activity, retrieving OHLCV history, or checking an order book.
Pricing tiers reset daily.
How to read the examples
Each use case includes:
- The endpoint pattern
- Example exchange and market IDs
- Estimated request volume
- A Pay As You Go estimate
- A comparison across committed usage plans
- Caveats that may affect real-world usage
For a general explanation of Usage Credits, committed plans, and overage billing, see the Usage Credits billing guide.