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Feedback Theme Supplied-Group Evaluation
x402
Feedback Theme 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 2026-10-19).
Evaluates a classifier's performance on feedback theme labels (quality, price, delivery, support) across user-supplied groups using local naive-Bayes metrics
Price / call$0.01
Success—
StatusUnknown
How this service works
Feedback theme - Supplied-group evaluation: Supplied-group evaluation for Feedback theme. 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 per-group classification evaluation metrics for feedback themes (quality, price, delivery, support), including accuracy and naive-Bayes baseline comparisons across the supplied group segments, for up to 200 labelled text records.
Example use cases
Segment-level classifier audit
“I've got 150 labelled customer feedback records split into two groups — 'enterprise' and 'SMB' — each with actual and predicted themes from quality, price, delivery, and support. Run a group evaluation so I can see whether my classifier performs differently across those two customer segments.”
A/B test feedback model quality
“We ran two different labelling pipelines on customer feedback and tagged them as group 'pipeline-A' and 'pipeline-B'. I have actual vs predicted feedback theme labels for about 120 records total. Can you evaluate classification accuracy broken down by those two pipeline groups?”
QA check before deploying feedback model
“Before we ship our feedback theme model to production, I want to benchmark its predictions against a naive-Bayes baseline. I have 200 records with actual labels (quality, price, delivery, support) and the model's predicted labels, tagged by product line group. Can you run the supplied-group evaluation and give me the performance breakdown?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-feedback-theme-group-evaluation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a pre-labelled dataset of customer feedback texts with actual and predicted theme labels and want to evaluate classifier performance broken down by a grouping variable (e.g. customer segment, product line, pipeline version). It is ideal for lightweight, local evaluation against a naive-Bayes baseline without needing a hosted model or foundation model. Prefer it over general ML evaluation services when your task is specifically the four-class feedback theme schema (quality, price, delivery, support) and you need group-stratified metrics at minimal cost.
Side effects
- More than 200 records submitted — request exceeds the bounded deliverable limit
- Missing required fields (id, text, actual, predicted, group) in any record — validation error
- Label values outside the enum (quality, price, delivery, support) — schema rejection
- Empty records array — no evaluation can be performed
- Malformed JSON body — request parsing failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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