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Cancellation Reason Confusion Matrix
x402
Cancellation Reason 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 2026-10-18).
Computes a confusion matrix for a cancellation-reason classifier given up to 200 labelled text records with actual and predicted category labels.
Price / call$0.01
Success—
StatusUnknown
How this service works
Cancellation reason - Confusion matrix: Confusion matrix for Cancellation reason. 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
Returns a bounded confusion matrix deliverable showing the distribution of actual vs predicted cancellation reason categories (price, usage, quality, other), enabling identification of which category pairs are most commonly confused by the classifier.
Example use cases
Evaluate subscription churn classifier
“I built a model to predict why customers cancel — price, usage, quality, or other — and I have 120 labelled test records with actual and predicted labels. Can you run a confusion matrix so I can see where the model is making mistakes?”
Spot price vs quality misclassification
“My cancellation reason classifier keeps mixing up 'price' and 'quality' complaints — can you generate a confusion matrix from these 80 labelled customer feedback records so I can quantify how often that's happening?”
Baseline model sanity check
“Before I invest in a fancier model, I want to sanity-check my naive Bayes baseline on cancellation reasons. Here are 200 labelled records with actual and predicted categories across price, usage, quality, and other — please produce a confusion matrix.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-cancellation-reason-confusion?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call confusion matrix evaluation for a cancellation-reason text classifier with up to 4 categories (price, usage, quality, other) and up to 200 records, without needing to host a model or set up a local evaluation pipeline. Ideal for quick model validation, baseline comparison, or spot-checking classifier outputs in a churn analysis workflow.
Side effects
- Fewer than 2 records submitted — minimum record count not met
- More than 200 records submitted — exceeds maximum batch size
- Missing required fields (id, text, actual, predicted) in one or more records
- Invalid enum value for actual or predicted (must be one of: price, usage, quality, other)
- Record ID exceeds 80 characters or is empty
- Payment not included or insufficient (requires 0.01 USDC via x402)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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