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Project Status Label Distribution
x402
Project Status 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 2026-10-19).
Computes the label distribution (class balance) across up to 200 labelled project-status text records, reporting counts for each status category.
Price / call$0.01
Success—
StatusUnknown
How this service works
Project status - Label distribution: Label distribution for Project status. 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
A bounded label distribution report showing the count (and likely proportion) of records falling into each of the four project status categories: planned, active, blocked, and complete. The result is scoped to the supplied dataset of up to 200 records.
Example use cases
Detecting class imbalance before training
“I have 150 labelled project status records and I want to check whether the classes are balanced before I train a classifier — can you compute the label distribution across planned, active, blocked, and complete for me?”
Validating annotated dataset quality
“My team just finished labelling 80 project status descriptions. Can you show me how many records fall into each of the four categories — planned, active, blocked, complete — so I can verify the annotation job looks right?”
Quick dataset audit for ML pipeline
“Before I plug this dataset into my ML pipeline, I need a breakdown of how many project status entries are labeled planned, active, blocked, and complete — can you run that distribution check on my 120 records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-project-status-label-balance?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, cheap ($0.01) label distribution check on a small labelled dataset (up to 200 records) scoped specifically to project status categories (planned, active, blocked, complete). It is ideal for pre-training dataset audits, annotation quality checks, and class imbalance detection without requiring a hosted model. Prefer it over general-purpose ML platforms when you want a lightweight, on-demand distribution summary for this specific label taxonomy.
Side effects
- Fewer than 2 records submitted — minimum input not met
- More than 200 records submitted — exceeds maximum batch size
- Record missing required 'id', 'text', or 'actual' field — schema validation error
- Invalid enum value for 'actual' field (not one of planned/active/blocked/complete) — rejected
- Empty text field — may be accepted but produces low-quality analysis
- Payment of 0.01 USDC not completed — endpoint returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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