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Lead Stage Multiclass Log Loss Calculator
x402
Lead Stage Multiclass Log Loss Calculator is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Computes multiclass log loss for lead stage classification models across up to 200 labelled text records with enquiry/qualified/negotiation/closed categories.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lead stage - Multiclass log loss: Multiclass log loss 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 log loss deliverable.
Output
Returns a bounded multiclass log loss value for the supplied labelled dataset, quantifying how well the model's predicted probabilities align with actual lead stages (enquiry, qualified, negotiation, closed). Lower values indicate better probability calibration.
Example use cases
CRM classifier quality check
“I've trained a model to predict which sales stage a lead is in — enquiry, qualified, negotiation, or closed — and I want to know its log loss on my 80 test records. Each record has the actual stage, what the model predicted, and the four class probabilities. Can you compute that for me?”
Sales funnel model benchmarking
“Compare the log loss of my new lead stage model against last month's baseline — here are 120 labelled leads with actual stages and my model's predicted probabilities across all four classes: enquiry, qualified, negotiation, and closed.”
Probability calibration assessment
“My lead scoring model outputs probabilities for each pipeline stage, but I'm not sure how well-calibrated they are. Can you compute the multiclass log loss on these 200 labelled records so I can see how much the probability estimates diverge from reality?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-lead-stage-log-loss?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, inexpensive log loss evaluation for a fixed four-class lead stage classifier (enquiry, qualified, negotiation, closed) on small to medium batches up to 200 records, without needing hosted model training or foundation model access. Ideal for lightweight CRM model benchmarking at $0.01 per call.
Side effects
- Probabilities array does not sum to 1.0 per record — invalid input
- More than 200 records supplied — exceeds batch limit
- Fewer than 4 probability values per record — schema violation
- Invalid stage label outside the four allowed enums — rejected
- Empty records array — no computation possible
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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