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Ticket Priority Classifier – Low-Confidence Review Queue
x402
Ticket Priority Classifier – Low-Confidence Review Queue 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).
Identifies low-confidence ticket priority predictions (low/normal/high) from a supplied batch of labelled records and returns a review queue of uncertain cases for human inspection.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ticket priority - Low-confidence review queue: Low-confidence review queue 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 low-confidence review queue deliverable.
Output
Returns a filtered set of up to 200 submitted ticket records identified as low-confidence, including their IDs, original text, actual and predicted priority labels, and per-class probabilities, enabling targeted human review of uncertain classifier outputs.
Example use cases
Support triage model audit
“I've got 120 support tickets my naive-Bayes priority classifier processed, each with actual and predicted labels and probabilities. Can you pull out all the ones where the model was less than 65% confident so our QA team can review them before we go live?”
Catching mislabelled training data
“Here are 80 ticket records I want to use for training — they all have predicted priority labels and probability scores. Can you flag the ones where the classifier's confidence is below 0.7? I want to clean up uncertain labels before I retrain.”
Monitoring live classifier uncertainty
“My ticket priority model just scored 200 new tickets and gave each one probabilities across low, normal, and high. Can you send back a review queue of everything below 0.55 confidence so I know which ones need a human second opinion?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-review-queue?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of ticket priority predictions with per-class probabilities from a local or naive-Bayes classifier and need to surface uncertain cases for human review. It is purpose-built for the ticket priority domain (low/normal/high labels) and operates without requiring a hosted or foundation model. Prefer it over general-purpose model evaluation tools when you specifically need a low-confidence review queue scoped to ticket triage workflows at low cost ($0.01 USDC per call).
Side effects
- Fewer than 2 records submitted — rejected with validation error
- More than 200 records submitted — rejected, batch size exceeded
- Probabilities array not length 3 or values outside [0,1] — schema validation failure
- Missing required fields (id, text, actual, predicted, probabilities) — request rejected
- All records exceed confidence threshold — empty review queue returned
- Minimum confidence threshold not set — may default, returning unexpected result set
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array | |
| minimum_confidence | number |
Tags
x402
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