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Ticket Priority Supplied-Group Evaluation
x402
Ticket Priority Supplied-Group Evaluation 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).
Evaluates classifier predictions for ticket priority (low/normal/high) across supplied labelled text records, broken down by group, using local naive-Bayes baselines and dataset tools.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ticket priority - Supplied-group evaluation: Supplied-group evaluation 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 supplied-group evaluation deliverable.
Output
Returns group-level evaluation metrics for a ticket priority classifier, including per-group accuracy, comparison against a naive-Bayes baseline, and breakdown of prediction correctness (low/normal/high) for each supplied group. Up to 200 labelled records supported per call.
Example use cases
Support team classifier audit
“I have 150 support tickets with actual and predicted priority labels (low, normal, high), split across three teams — 'enterprise', 'smb', and 'self-serve'. Can you run a group evaluation so I can see which team my ticket priority model performs worst on?”
Naive-Bayes baseline comparison
“I want to benchmark my ticket triage model against a naive-Bayes baseline. Here are 80 labelled ticket texts with their actual and predicted priority levels, grouped by product line — can you evaluate them and show me how each group compares?”
Model fairness check across regions
“Before I deploy my ticket priority classifier, I need to check if it performs equally across regions. I have 200 records tagged with actual and predicted priorities (low, normal, high) and a group field for each region — can you run the group evaluation and flag any big accuracy gaps?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-group-evaluation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, per-group evaluation of a ticket priority (low/normal/high) classifier on a small supplied dataset (up to 200 records) without needing a hosted model or foundation-model training. It is ideal when you want group-stratified performance metrics and a naive-Bayes baseline comparison for a local dataset, at minimal cost ($0.01 USDC per call). Prefer alternatives if you need full model training, predictions on unseen data, or evaluation on more than 200 records.
Side effects
- Fewer than 2 records supplied — minimum input violation
- More than 200 records submitted — exceeds maximum item limit
- Missing required fields (id, text, actual, predicted, group) on any record — schema validation error
- Invalid priority label values (not one of low, normal, high) — enum violation
- Record text exceeds 1000 characters — field length violation
- Group or ID fields exceed 80 characters — field length violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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