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Lead Stage Confusion Matrix
x402
Lead Stage Confusion Matrix 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 a confusion matrix for a lead stage classifier across four stages (enquiry, qualified, negotiation, closed) from up to 200 labelled text records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lead stage - Confusion matrix: Confusion matrix 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 confusion matrix deliverable.
Output
A confusion matrix covering the four lead stages (enquiry, qualified, negotiation, closed), showing counts of correct and incorrect predictions for each class pair, along with derived per-class and overall accuracy metrics.
Example use cases
CRM classifier audit for sales team
“I've got 120 lead records where each one has the actual stage — enquiry, qualified, negotiation, or closed — and what our classifier predicted. Can you run a confusion matrix so I can show the sales ops team exactly which stage transitions the model keeps getting wrong?”
Naive-Bayes baseline evaluation
“I'm testing a naive-Bayes lead stage model and have 80 labelled examples with both actual and predicted stage labels. Can you build a confusion matrix so I can see its accuracy across enquiry, qualified, negotiation, and closed stages?”
Lead scoring model QA before deployment
“Before we push this lead scoring model to production, I want to sanity-check it against 200 test records I've labelled with actual and predicted lead stages. Can you generate a confusion matrix so I can spot any systematic misclassifications?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-lead-stage-confusion?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a structured confusion matrix specifically for a four-class lead stage classifier (enquiry, qualified, negotiation, closed) evaluated on up to 200 labelled text records, and you want a lightweight, bounded computation without needing a hosted model or foundation model training pipeline.
Side effects
- More than 200 records submitted — batch size limit exceeded
- Records missing required fields (id, text, actual, predicted) — validation error
- Invalid label value outside the four allowed enums — rejected input
- Empty records array — no computation possible
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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