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Ticket Priority Macro Micro and Weighted Scores
x402
Ticket Priority Macro Micro and 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 2026-10-15).
Computes macro, micro, and weighted classification evaluation scores for a ticket priority (low/normal/high) classifier given up to 200 labelled text records with actual and predicted labels.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ticket priority - Macro micro and weighted scores: Macro micro and weighted scores for Ticket priority. 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 classification evaluation metrics (such as precision, recall, and F1) computed across the supplied actual vs. predicted priority label pairs for up to 200 text records labelled as low, normal, or high ticket priority.
Example use cases
Support triage model benchmarking
“I've got 120 support tickets with their true priority labels and what our classifier predicted — can you compute the macro, micro, and weighted evaluation scores so I can see how well the model is doing across low, normal, and high priority classes?”
Comparing two ticket classifiers
“I want to compare two versions of our ticket priority model. Can you run the macro, micro, and weighted scoring on these 80 labelled ticket records with both actual and predicted priority labels so I can decide which model performs better?”
Validating naive-Bayes baseline on new data
“We just labelled a new batch of 40 support tickets (low, normal, or high priority) and ran our baseline model on them. Can you compute the aggregate macro, micro, and weighted scores so we can see if the baseline still holds up on this new dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-aggregate-scores?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, cheap ($0.01 USDC) aggregate macro/micro/weighted classification evaluation metrics for a three-class ticket priority model (low/normal/high) using your own labelled dataset of up to 200 records, without needing a hosted model or foundation model training environment.
Side effects
- Fewer than 2 records supplied — minimum items validation error
- More than 200 records supplied — maximum items exceeded error
- Missing required fields (id, text, actual, predicted) on any record — schema validation error
- Invalid priority label value (not one of low/normal/high) — enum validation error
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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