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Support Intent Label Distribution
x402
Support Intent Label Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Computes label distribution statistics for a set of labelled support intent text records across billing, technical, account, and other categories.
Price / call$0.01
Success—
StatusUnknown
How this service works
Support intent - Label distribution: Label distribution for Support intent. 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 label distribution deliverable.
Output
Returns a bounded deliverable summarizing the frequency and proportion of each support intent label (billing, technical, account, other) across the submitted records, enabling class balance assessment for up to 200 labelled text examples.
Example use cases
Pre-training class imbalance check
“I've got 150 labelled support tickets — some tagged billing, some technical, some account, and some other — can you calculate the label distribution so I know if the classes are balanced before I build a classifier?”
Support data audit for QA team
“Our QA team collected 80 labelled support intent records. Can you break down how many fall into each category — billing, technical, account, and other — so we can report on the composition of the dataset?”
Iterative dataset balancing workflow
“I'm building a support intent model and I've just added 50 new labelled examples. Can you run a label distribution check on all 120 records so I can see if the new data made the class balance better or worse?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-support-intent-label-balance?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, cheap ($0.01 USDC) label distribution summary for a small labelled support intent dataset (up to 200 records) without spinning up a hosted ML model. Ideal for pre-training data audits, class imbalance checks, or dataset composition reporting specifically in the billing/technical/account/other support intent taxonomy.
Side effects
- Fewer than 2 records supplied — minItems validation error
- More than 200 records supplied — maxItems validation error
- Missing required fields (id, text, actual) on any record — schema validation error
- Invalid label value outside enum (billing, technical, account, other) — rejected record
- Record text exceeding 1000 characters — truncation or rejection
- Payment not completed via x402 protocol — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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