# Services from ml-metrics.x402tookit.com on Zero

> ml-metrics.x402tookit.com serves 8 paid API services for AI agents, indexed by Zero. Each is callable per call with payment handled by Zero.

Canonical page: https://www.zero.xyz/host/ml-metrics.x402tookit.com
Live health (JSON, refreshed every minute): https://www.zero.xyz/host/ml-metrics.x402tookit.com/health.json

## Services

- [Machine Learning Metrics: Confusion Matrix](https://www.zero.xyz/c/machine-learning-metrics-confusion-matrix-92a22b10/llms.txt): $0.02/call via x402. Computes confusion matrix and derived classification metrics (accuracy, precision, recall, F1, MCC, Cohen's kappa, etc.) from true and predicted labels
- [Machine Learning Metrics: Log Loss (Cross Entropy)](https://www.zero.xyz/c/machine-learning-metrics-log-loss-cross-entropy-1eb301c7/llms.txt): $0.02/call via x402. Computes binary or multiclass log loss (cross entropy) with epsilon clipping, plus the no-skill uniform baseline and the worst-performing samples.
- [ML Metrics Threshold Sweep](https://www.zero.xyz/c/ml-metrics-threshold-sweep-c56fba5d/llms.txt): $0.02/call via x402. Sweeps every score threshold for binary classification and returns the best F1, Youden J, and accuracy thresholds with full confusion matrix metrics at each point.
- [Machine Learning Metrics: Calibration (ECE, MCE, Brier Score)](https://www.zero.xyz/c/machine-learning-metrics-calibration-ece-mce-brier-score-b6ee779f/llms.txt): $0.02/call via x402. Computes reliability bins, expected calibration error (ECE), maximum calibration error (MCE), and Brier score from binary labels and predicted probabilities.
- [Machine Learning Metrics – Precision-Recall Curve](https://www.zero.xyz/c/machine-learning-metrics-precision-recall-curve-a580806f/llms.txt): $0.02/call via x402. Computes precision-recall curve points, average precision (step-wise sum), and the baseline for binary classification labels and model scores.
- [ML Regression Metrics Calculator](https://www.zero.xyz/c/ml-regression-metrics-calculator-8bea5f62/llms.txt): $0.02/call via x402. Computes a comprehensive suite of regression evaluation metrics (MAE, MSE, RMSE, R², adjusted R², MAPE, SMAPE, explained variance, median absolute error, max error) from arrays of actual and predicted values.
- [BLEU and ROUGE Metrics Calculator](https://www.zero.xyz/c/bleu-and-rouge-metrics-calculator-0beb6647/llms.txt): $0.02/call via x402. Computes sentence BLEU (1–4 gram with brevity penalty and optional smoothing) and ROUGE-1, ROUGE-2, ROUGE-L F1/precision/recall scores for a candidate text against one or more reference texts.
- [Machine Learning Metrics: ROC Curve and AUC](https://www.zero.xyz/c/machine-learning-metrics-roc-curve-and-auc-4de827ff/llms.txt): $0.02/call via x402. Computes ROC curve points and AUC from binary labels and model scores using the Mann-Whitney rank-sum identity, with tie-handling.

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

- [Zero catalog index](https://www.zero.xyz/llms.txt)