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Delx Commerce — Expected Calibration Error (ECE) Calculator
x402
Delx Commerce — Expected Calibration Error (ECE) Calculator is a paid API for AI agents from commerce.delx.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-01).
Computes the Expected Calibration Error (ECE) of a set of binary forecast probabilities against observed outcomes, returning a calibration quality score.
Price / call$0.001
Success—
StatusUnknown
How this service works
Pay-per-result APIs for agents. No signup. Exact price. Verifiable delivery. USDC on Base + Solana via x402.
Output
Returns a JSON object containing the ECE score (a float indicating average calibration error, lower is better), the number of samples (n) used in the calculation, and a schema identifier string (e.g. 'delx/util-calibration-ece/v1') for result provenance.
Example use cases
Evaluating weather forecast calibration
“I ran a weather prediction model and got probabilities [0.2, 0.5, 0.7, 0.9, 0.3] for rain events, and the actual outcomes were [0, 1, 1, 1, 0]. Can you calculate the Expected Calibration Error using 5 bins so I know how well-calibrated those forecasts are?”
Auditing medical risk model reliability
“My patient risk model output probabilities [0.1, 0.6, 0.8, 0.4, 0.95] and the true binary outcomes were [0, 1, 1, 0, 1]. Compute the ECE with 10 bins — I need to verify this model is properly calibrated before deployment.”
Comparing classifier calibration before and after Platt scaling
“Before applying Platt scaling, my model produced forecasts [0.05, 0.3, 0.7, 0.95, 0.5] against outcomes [0, 0, 1, 1, 1]. Can you calculate the ECE with 5 bins so I can benchmark calibration improvement after scaling?”
Technical details
Endpoint
POSThttps://commerce.delx.ai/api/v1/x402/calibration-ece?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, pay-per-call ECE computation without setting up your own calibration library or infrastructure. Ideal for AI agents that need on-demand probabilistic model evaluation as part of an automated ML pipeline, audit workflow, or model comparison task. At $0.001 USDC per call with no signup required, it is cost-effective for low-frequency or one-off calibration checks.
Side effects
- Mismatched array lengths between forecasts and outcomes will likely cause an error or undefined behavior
- Forecast values outside [0,1] range are invalid inputs
- Invalid bins value (e.g. zero or negative integer) may cause computation failure
- Empty forecasts or outcomes arrays may return a null or error response
- Network or payment processing failure may result in no response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | Number of calibration bins |
| outcomes | array | Binary outcomes 0/1 aligned with forecasts |
| forecasts | array | Forecast probabilities in [0,1] |
Output
Schema · Response
{
"type": "json",
"example": {
"n": 4,
"ece": 0.225,
"schema": "delx/util-calibration-ece/v1"
}
}Tags
x402
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