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World Cup Historical Forecast Backtests
x402
World Cup Historical Forecast Backtests is a paid API for AI agents from agents.machina.gg, paid per call via MPP or x402, $0.12/call, status healthy (last checked 2026-09-14, last successful call 2026-09-03).
Returns historical backtest results for Dixon-Coles match forecast models applied to World Cup 2026 matches, enabling evaluation of model accuracy over time.
Price / call$0.12
Success100%
StatusHealthy
How this service works
Historical backtests of the match forecasts. Informational research output with no selection, ranking, or recommendation of wagers.
Output
Returns structured JSON containing historical backtest results for the Dixon-Coles match forecasting model applied to World Cup 2026 matches. Data includes past match predictions versus actual outcomes, accuracy metrics, and model performance indicators. Output is grounded, source-cited, and strictly informational — no wagering recommendations.
Example use cases
Evaluating forecast model reliability
“Show me the historical backtest results for the 2026 World Cup match forecasts — I want to understand how well the model's win probability predictions have matched actual match results so far.”
Comparing model accuracy before placing bets
“Before I use the match forecast probabilities for research, can you pull the historical backtest data so I can see how the Dixon-Coles model has performed against real outcomes in past World Cup matches?”
Sports analytics research on forecast performance
“I'm doing research on sports forecasting models — can you get me the historical backtests for the World Cup match probability model, including how the predicted probabilities have tracked against what actually happened?”
Technical details
Endpoint
POSThttps://agents.machina.gg/world-cup/v1/backtest-forecastsWhen to prefer
Use this endpoint when you need to evaluate the historical predictive accuracy of the World Cup Dixon-Coles forecasting model before relying on it for research or analysis. Prefer this over the live match forecast endpoint when the goal is model validation and retrospective analysis rather than getting current predictions. This is the right choice for sports analytics research, model auditing, or building confidence in forecast reliability.
Side effects
- HTTP 402 if payment is not provided or insufficient funds
- Empty or minimal backtest data if insufficient historical matches have been played
- Request body malformation if JSON schema not followed correctly
- Timeout if the backtest computation takes too long server-side
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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