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Lead Stage Label and Prediction Audit
x402
Lead Stage Label and Prediction Audit 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).
Audits classifier labels and predictions for lead stage classification (enquiry, qualified, negotiation, closed) using local naive-Bayes evaluation tools on up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lead stage - Label and prediction audit: Label and prediction audit 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 label and prediction audit deliverable.
Output
A bounded audit deliverable covering label and prediction quality for up to 200 lead stage records, including accuracy metrics, confusion analysis across enquiry/qualified/negotiation/closed classes, comparison against a naive-Bayes baseline, and identification of problematic predictions or low-confidence records.
Example use cases
CRM Model Accuracy Check
“I've got 180 labelled lead stage records from our CRM model — each has the actual stage (enquiry, qualified, negotiation, or closed), the predicted stage, and four class probabilities. Can you audit the predictions and tell me where the model is going wrong?”
Sales Pipeline Classifier Benchmarking
“We trained a text classifier to predict which stage a sales lead is at and I want to benchmark it against a naive-Bayes baseline. I have 200 records with text, actual labels, predicted labels, and probability scores across the four lead stages — can you run the audit?”
Mislabeled Training Data Detection
“Before we retrain our lead stage model, can you audit our 120 labelled records — each has the actual and predicted label for enquiry, qualified, negotiation, or closed, plus class probabilities — to flag where labels and predictions are inconsistent or where confidence is low?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-lead-stage-label-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, fast, low-cost audit of a lead stage text classifier without needing to train or call a hosted model. It is ideal for datasets up to 200 records, when you already have predicted labels and probabilities and want to evaluate quality, identify mislabeled data, or compare against a naive-Bayes baseline — all at $0.01 per call.
Side effects
- More than 200 records submitted — array will be rejected or truncated
- Probabilities array does not contain exactly 4 values summing to approximately 1.0
- Invalid stage label used outside the enum (enquiry, qualified, negotiation, closed)
- Empty records array returns no meaningful audit output
- Record ID missing or exceeds 80 character limit causes validation failure
- Text field exceeds 1000 character limit per record
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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