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Project Status Supplied-Group Evaluation
x402
Project Status 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 2026-10-15).
Evaluates a supplied set of labeled project-status text records by group, computing classification metrics (accuracy, confusion matrix, etc.) using local naive-Bayes baselines — no hosted model required.
Price / call$0.01
Success—
StatusUnknown
How this service works
Project status - Supplied-group evaluation: Supplied-group evaluation 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 supplied-group evaluation deliverable.
Output
Returns a group-level evaluation report including per-group classification accuracy, confusion matrices, and naive-Bayes baseline scores for the submitted labeled project-status text records (up to 200 records, classified across planned/active/blocked/complete labels).
Example use cases
Auditing classifier fairness across teams
“I want to check whether my project status classifier performs equally well across different team groups. I have 150 labeled records with actual statuses (planned, active, blocked, or complete) and my model's predictions — each record belongs to either group 'alpha' or 'beta'. Can you run the group evaluation so I see accuracy and baseline scores broken down by group?”
Benchmarking predictions before model deployment
“Before we ship our project status prediction model, can you evaluate it against a naive-Bayes baseline? I'll supply around 180 labeled text records, each tagged with actual and predicted statuses from the set planned/active/blocked/complete, and split across groups 'q1', 'q2', and 'q3'. I need the per-group performance breakdown.”
Debugging blocked-status misclassification by region
“My classifier seems to confuse 'blocked' and 'active' project statuses for one of my regional groups. I have 120 records with ids, text descriptions, actual labels, predicted labels, and group tags for 'north' and 'south'. Can you run the supplied-group evaluation so I can see the confusion matrix and accuracy per group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-project-status-group-evaluation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local evaluation of a project-status text classifier broken down by user-defined groups, without needing a hosted model or foundation-model training infrastructure. It is ideal for small datasets (up to 200 records), quick benchmarking against a naive-Bayes baseline, and auditing classifier fairness across team or regional segments using the four project status labels (planned/active/blocked/complete).
Side effects
- More than 200 records submitted — request rejected or truncated
- Records missing required fields (id, text, actual, predicted, group) — validation error
- Invalid label values outside the enum (planned/active/blocked/complete) — schema validation failure
- Empty records array — no metrics returned
- Text field exceeding 1000 characters per record — truncation or rejection
- Payment not received or insufficient USDC — 402 response, no evaluation performed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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