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Project Status Text Classifier (Local Naive-Bayes)
x402
Project Status Text Classifier (Local Naive-Bayes) 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).
Trains a local naive-Bayes text classifier on up to 200 labelled project-status records and classifies new query texts into planned, active, blocked, or complete categories.
Price / call$0.01
Success—
StatusUnknown
How this service works
Project status - Train local text baseline and classify: Train local text baseline and classify 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 train local text baseline and classify deliverable.
Output
Returns predicted project status classifications (planned, active, blocked, or complete) for each query text, along with evaluation metrics from the locally trained naive-Bayes model based on the supplied labelled records.
Example use cases
Auto-triage incoming project tickets
“I have 150 project ticket descriptions I've manually labelled as planned, active, blocked, or complete — can you train a local text classifier on them and then predict the status of these 10 new ticket descriptions that came in today?”
Audit project portfolio status from notes
“We have a spreadsheet of 80 project summary blurbs with known status labels. Use those to build a quick classifier and tell me which of these 5 new project summaries are likely blocked vs active.”
Validate project status tagging consistency
“I want to check if our existing project-status labels are consistent — here are 60 labelled examples, train a model and use it to re-score those same records so I can see which ones the classifier disagrees with.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-project-status-local-classifier?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a small labelled dataset (2–200 records) of project status text and need a quick, interpretable local classification without sending data to a hosted or foundation model. Ideal for lightweight, privacy-conscious classification tasks on project lifecycle stages using only the four fixed categories: planned, active, blocked, complete.
Side effects
- Fewer than 2 records supplied — minimum input not met
- Records missing required fields (id, text, actual) — schema validation error
- query_texts array is empty or exceeds 20 items — out-of-range error
- Insufficient class representation in training data for reliable naive-Bayes estimation
- Text length exceeds 1000 characters per record — truncation or rejection
- More than 200 records supplied — maxItems exceeded
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array | |
| query_texts | array |
Tags
x402
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