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Meeting Topic Confusion Matrix
x402
Meeting Topic Confusion Matrix 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 a confusion matrix for meeting topic classification (planning/progress/decision/review) from up to 200 labelled text records
Price / call$0.01
Success—
StatusUnknown
How this service works
Meeting topic - Confusion matrix: Confusion matrix 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 confusion matrix deliverable.
Output
A bounded confusion matrix deliverable showing how predicted meeting topic labels (planning, progress, decision, review) compare against actual labels across up to 200 supplied records, enabling per-class error analysis.
Example use cases
Classifier accuracy audit for product team
“I trained a naive-Bayes model to classify our meeting notes into planning, progress, decision, and review topics — can you run a confusion matrix on these 120 labelled samples so I can see where it's getting things wrong?”
Comparing two models on meeting transcripts
“I have 80 meeting transcript excerpts with ground-truth topic labels and predictions from two different classifiers — compute the confusion matrix for the first model's predictions so I can see its error patterns across planning, progress, decision, and review.”
QA check before deploying meeting classifier
“Before we ship this meeting topic tagger, can you generate a confusion matrix from our 150 validation records — each has an actual label and a predicted label for planning, progress, decision, or review — so we can spot any systematic misclassifications?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-meeting-topic-confusion?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call confusion matrix evaluation for a 4-class meeting topic classifier without standing up your own ML evaluation infrastructure. Ideal for small validation sets up to 200 records where you want a quick, cheap assessment of planning/progress/decision/review classification quality.
Side effects
- Records array exceeds 200 items — request rejected or truncated
- Missing required fields (id, text, actual, predicted) on any record causes validation error
- Invalid enum values for actual or predicted fields (must be planning/progress/decision/review)
- Empty records array returns trivial or error response
- Payment not included or insufficient — x402 payment required at $0.01 USDC
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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