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Lead Stage Multiclass Brier Score Calculator
x402
Lead Stage Multiclass Brier Score Calculator is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Computes the multiclass Brier score to evaluate probabilistic classifier performance on lead stage predictions across four sales pipeline stages.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lead stage - Multiclass Brier score: Multiclass Brier score for Lead stage. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded multiclass brier score deliverable.
Output
Returns a multiclass Brier score value quantifying the mean squared difference between predicted class probability distributions and the one-hot encoded actual class labels across all supplied records. Lower scores indicate better-calibrated probabilistic predictions across the four lead stages (enquiry, qualified, negotiation, closed).
Example use cases
CRM model quality check
“I've trained a lead stage classifier that predicts whether a lead is in enquiry, qualified, negotiation, or closed stage. I have 80 labelled records with the actual stage, predicted stage, and the four class probabilities. Can you compute the multiclass Brier score to see how well-calibrated my model's probability estimates are?”
Comparing two lead scoring models
“I want to compare two versions of my lead stage model. Can you calculate the multiclass Brier score for my 150 labelled records — each has an id, the text, the actual stage (enquiry, qualified, negotiation, or closed), the predicted stage, and the probability array — so I can see which model is better calibrated?”
Validating a naive Bayes baseline
“Before I invest in a more complex model, I want to benchmark my naive Bayes baseline for classifying sales leads into enquiry, qualified, negotiation, or closed. I have 40 labelled test records with actual labels, predictions, and class probabilities. Can you run the multiclass Brier score calculation on them?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-lead-stage-brier?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to evaluate a probabilistic multi-class classifier specifically for sales lead stage prediction across the four standard stages (enquiry, qualified, negotiation, closed), with up to 200 labelled records. It is purpose-built for the lead stage domain and bundles evaluation tooling without requiring a hosted model, making it ideal for quick validation of local or naive Bayes classifiers at very low cost.
Side effects
- Records exceeding the 200-item limit may be rejected or truncated
- Probability arrays not summing to 1 or not containing exactly 4 values may cause errors
- Invalid or missing actual/predicted enum values (outside enquiry, qualified, negotiation, closed) will fail validation
- Empty records array returns no meaningful score
- Record IDs exceeding 80 characters will fail schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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