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Return Reason Taxonomy Prompt Template
x402
Return Reason Taxonomy Prompt Template 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).
Generates a taxonomy prompt template for classifying product return reasons (damaged, wrong_item, unwanted, other) from up to 200 labelled text records
Price / call$0.01
Success—
StatusUnknown
How this service works
Return reason - Taxonomy prompt template: Taxonomy prompt template for Return reason. 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 taxonomy prompt template deliverable.
Output
A bounded taxonomy prompt template deliverable that encodes the return reason classification schema (damaged, wrong_item, unwanted, other) derived from the supplied labelled text records, suitable for use with an LLM or naive-Bayes baseline classifier.
Example use cases
E-commerce returns classification pipeline
“I have 50 labelled customer return comments already tagged as damaged, wrong_item, unwanted, or other — can you generate a taxonomy prompt template I can drop into my LLM pipeline to classify new return submissions automatically?”
Return reason audit tool setup
“We're auditing our return data and need a prompt template that captures our four return categories — damaged, wrong_item, unwanted, and other — based on 100 labelled examples I'll supply. Can you build that taxonomy prompt for us?”
Training data prompt for small-team ML project
“Our small team is building a return-reason classifier but can't afford to fine-tune a model. Can you generate a taxonomy prompt template from our 30 labelled return records so we can use it with a foundation model instead?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-return-reason-prompt-template?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a ready-made taxonomy prompt template for return reason classification (damaged, wrong_item, unwanted, other) grounded in your own labelled examples, without needing to train or host a model. Best when you have 2–200 labelled records and want a reusable prompt for LLM-based or naive-Bayes classification at minimal cost.
Side effects
- Fewer than 2 records supplied — minimum minItems:2 not met
- More than 200 records supplied — maxItems:200 exceeded
- Missing required fields (id, text, actual) in one or more records
- Invalid enum value for 'actual' field (must be damaged, wrong_item, unwanted, or other)
- Record ID exceeds 80 characters or text exceeds 1000 characters
- Payment of 0.01 USDC not provided or rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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