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Meeting Topic Multiclass Log Loss Calculator
x402
Meeting Topic Multiclass Log Loss Calculator 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).
Computes multiclass log loss for a meeting topic classifier across up to 200 labelled text records with four topic categories.
Price / call$0.01
Success—
StatusUnknown
How this service works
Meeting topic - Multiclass log loss: Multiclass log loss for Meeting topic. 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 multiclass log loss deliverable.
Output
Returns a bounded multiclass log loss value computed over the supplied labelled records, reflecting how well the predicted probability distributions match the actual meeting topic labels across the four categories: planning, progress, decision, and review.
Example use cases
Meeting classifier model benchmarking
“I trained a Naive Bayes classifier to label meeting segments as planning, progress, decision, or review. Can you calculate the multiclass log loss for these 80 labelled records, each with actual labels and predicted class probabilities?”
Probability calibration check for meeting NLP
“I want to see how well-calibrated my meeting topic model's probability outputs are — here are 120 records with the actual meeting topic labels and the 4-class predicted probability arrays. Please compute the log loss.”
Comparing two meeting topic models
“I have two sets of predictions for the same 60 meeting transcript segments, both predicting across planning, progress, decision, and review. Can you compute the log loss for my first model's predictions so I can compare it against the second?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-meeting-topic-log-loss?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, cheap ($0.01 USDC) multiclass log loss calculation for a meeting topic classifier with the specific four-class taxonomy (planning, progress, decision, review) and have up to 200 labelled records ready. It is ideal for lightweight model evaluation without needing to set up local ML tooling or pay for expensive hosted evaluation services. Prefer alternatives if you need per-class breakdown metrics, accuracy/F1, or support for more than 200 records at once.
Side effects
- More than 200 records submitted — request exceeds the per-call limit
- Probabilities array does not contain exactly 4 values per record — validation error
- Probability values outside [0,1] range — schema validation failure
- Invalid or unrecognised class label in actual or predicted fields — enum mismatch error
- Empty records array submitted — no data to evaluate
- Payment not processed — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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