ForecastAnalytics is a lightweight API for evaluating probabilistic predictions. Compute Brier score, Brier skill score, log loss, calibration metrics, and aggregate multiple forecasts. Designed for prediction markets, forecasting models, and AI agents working with probabilities.

2 subscribers
6 endpoints
The in-depth APIMemo review for this API hasn't been published yet — the data below comes straight from the public marketplace listing.

ForecastAnalytics endpoints

MethodEndpointDescription
brier
POST brier_score_brier_post
/brier
Compute the Brier score for a list of binary probabilistic forecasts. The Brier score is defined as the mean squared error between a forecast probability and the corresponding…
brier_skill
POST brier_skill_brier_skill_post
/brier_skill
Compute the Brier skill score relative to a baseline forecast. The Brier skill score (BSS) compares a forecast’s Brier score against a reference forecast. It is defined as 1 –…
log_loss
POST log_loss_log_loss_post
/log_loss
Compute the binary cross‑entropy (log loss) for probabilistic forecasts. Log loss is calculated as the negative mean of y*log(p) + (1–y)*log(1–p), where p is the predicted…
calibration
POST calibration_calibration_post
/calibration
Generate calibration data for reliability analysis. This endpoint bins forecasts into `num_bins` equal‑width intervals between 0 and 1. For each bin it returns the average…
aggregate
POST aggregate_aggregate_post
/aggregate
Aggregate probabilistic forecasts from multiple sources. This endpoint supports simple arithmetic averaging and optional weighted averaging of forecasts. It accepts a list of…
Other endpoints
GET root__get
/

ForecastAnalytics pricing

PlanPriceRate limitQuotas
BASIC Free 25 / second
  • Requests: 5,000 / monthly
PRO Recommended $9.99 / month 75 / second
  • Requests: 100,000 / monthly
ULTRA $19.99 / month 150 / second
  • Requests: 500,000 / monthly

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