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Commerce Intent Classifier - Macro, Micro & Weighted Evaluation Scores
x402
Commerce Intent Classifier - Macro, Micro & Weighted Evaluation 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 precision/recall/F1 scores for a set of commerce intent classification predictions (browse, purchase, return, other) against ground-truth labels.
Price / call$0.01
Success—
StatusUnknown
How this service works
Commerce intent - Macro micro and weighted scores: Macro micro and weighted scores for Commerce intent. 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 macro, micro, and weighted aggregate evaluation scores (precision, recall, F1) computed across all supplied labelled records against the four commerce intent classes: browse, purchase, return, and other.
Example use cases
Benchmarking a new intent classifier
“I just trained a naive Bayes classifier on shopping intent and I have 120 records with actual labels and predictions — can you compute the macro, micro, and weighted F1 scores so I can see how well it's performing across browse, purchase, return, and other categories?”
Comparing two model versions
“I have 80 labelled commerce intent records with predictions from my v2 model — can you run the macro, micro, and weighted scoring so I can compare it against my v1 baseline?”
Diagnosing class imbalance impact
“My dataset has way more 'browse' records than 'purchase' or 'return' — can you compute the macro and weighted F1 scores for my 60 labelled predictions so I can see how much the imbalance is hurting my overall score?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-commerce-intent-aggregate-scores?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, cheap ($0.01 USDC) aggregate classification metrics for a commerce intent model without spinning up your own evaluation pipeline. It is ideal for teams evaluating browse/purchase/return/other classifiers on small datasets (up to 200 records) and wanting macro, micro, and weighted F1 in a single call.
Side effects
- More than 200 records supplied — request rejected or truncated
- Missing required fields (id, text, actual, predicted) on any record — validation error
- Invalid enum values for actual or predicted labels — schema rejection
- Empty records array — no scores computed
- Network timeout or payment failure via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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