Moving averages, exponential smoothing, autocorrelation, outliers, decomposition, growth rates, change points and forecast accuracy for a list of numbers.
payments ON MAINNET (real money) · 8 live endpoints
| Endpoint | Price | What it answers |
|---|---|---|
GET /autocorrelation | $0.02 | Sample autocorrelation (ACF) and partial autocorrelation (PACF, Durbin-Levinson) of a series up to lag k, with 95% bounds. |
GET /change-points | $0.03 | Find level shifts in a series with two-sided CUSUM alarms and a mean-shift binary segmentation, positions 1-based. |
GET /exponential-smoothing | $0.03 | Simple, Holt trend or Holt-Winters seasonal exponential smoothing with a forecast h steps ahead and in-sample fit error. |
GET /forecast-accuracy | $0.02 | Score a forecast against actuals: MAE, RMSE, MAPE, sMAPE, bias and MASE against a naive benchmark. |
GET /growth-rates | $0.02 | Period-over-period percent change, log returns, CAGR and rolling growth for a list of values in time order. |
GET /moving-average | $0.02 | Simple, exponential or weighted moving average of a list of numbers, trailing or centered, with the alignment stated. |
GET /outliers | $0.02 | Flag outliers in a list of numbers by z-score, Tukey IQR fences and the MAD modified z-score (3.5 rule). |
GET /trend-seasonality | $0.03 | Classical additive decomposition of a series into trend, seasonal and remainder parts for a given period. |
GET /catalog returns this list as JSON. Activity hub · uptime.
Time series arithmetic computed locally from the numbers given, using standard textbook formulas, provided as is. Smoothing, forecasts and change points are descriptive statistics on your data, not predictions you can rely on, and not financial, investment or business advice. Every paid response carries a disclaimer field.