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Lead Stage Classifier — Macro, Micro & Weighted Scores
x402
Lead Stage Classifier — Macro, Micro & Weighted Scores 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 macro, micro, and weighted classification evaluation scores for a lead-stage prediction dataset with up to 200 labelled text records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lead stage - Macro micro and weighted scores: Macro micro and weighted scores 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 macro micro and weighted scores deliverable.
Output
Returns a bounded deliverable containing macro, micro, and weighted classification scores computed over the supplied labelled records, allowing comparison of predicted vs actual lead stages across enquiry, qualified, negotiation, and closed categories.
Example use cases
CRM pipeline model benchmarking
“I've got 120 lead records where each has the actual stage (enquiry, qualified, negotiation, or closed) and what my model predicted — can you compute the macro, micro, and weighted classification scores so I can see how my model is performing overall?”
Sales funnel stage prediction audit
“My sales team ran predictions on 80 leads through our model and I want to audit how well it classified them into enquiry, qualified, negotiation, and closed — please compute the macro micro and weighted scores for this batch.”
Naive-Bayes baseline evaluation
“I trained a simple baseline classifier on lead stages and have 200 labelled records with actual vs predicted labels across enquiry, qualified, negotiation, and closed — run the macro micro and weighted evaluation so I can compare it to our existing model.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-lead-stage-aggregate-scores?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, fast evaluation metrics (macro, micro, weighted scores) for a lead-stage text classification task with up to 200 labelled records, using local dataset tools and naive-Bayes baselines — no hosted model or external LLM training required. Prefer this over general ML platforms when you want a cheap ($0.01 USDC), bounded, single-call evaluation with no infrastructure setup.
Side effects
- More than 200 records submitted — input exceeds the bounded record limit
- Missing required fields (id, text, actual, predicted) in any record — validation error
- Invalid stage enum value outside enquiry/qualified/negotiation/closed — schema rejection
- Empty records array — no data to evaluate
- Malformed JSON body — request parsing failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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