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Sentiment Top-k Label Coverage
x402
Sentiment Top-k Label Coverage is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Computes top-k label coverage metrics for sentiment classification results across up to 200 labelled text records
Price / call$0.01
Success—
StatusUnknown
How this service works
Sentiment - Top-k label coverage: Top-k label coverage for Sentiment. 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 top-k label coverage deliverable.
Output
Returns a bounded top-k label coverage deliverable: a numeric coverage score indicating the fraction of records where the true sentiment label (positive, neutral, or negative) falls within the top k predicted labels, based on the supplied probability vectors.
Example use cases
Sentiment model evaluation on review data
“I trained a sentiment classifier on customer reviews and want to know if the correct label (positive, neutral, or negative) shows up in the top 2 predicted labels. I have 100 labelled records with probabilities — can you compute the top-2 label coverage?”
Comparing classifier quality before deployment
“Before I deploy my new sentiment model, I need to check top-k label coverage with k=1 on 80 test samples — each has an actual label, a predicted label, and 3 probability scores. Can you run that evaluation for me?”
Validating naive-Bayes sentiment baseline
“I built a naive-Bayes sentiment baseline and want to evaluate its top-3 label coverage on 200 text records — all labelled positive, neutral, or negative with probability arrays. Can you compute the coverage metric?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-sentiment-top-k?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) computation of top-k label coverage for a 3-class sentiment classification task (positive/neutral/negative) on up to 200 records. Ideal for quick evaluation of local classifiers or naive-Bayes baselines without needing a hosted model or foundation model. Best suited for small dataset evaluation runs where you already have predicted labels and probability scores.
Side effects
- More than 200 records supplied — exceeds the per-call limit
- Probability arrays not summing to 1 or having fewer/more than 3 elements
- Invalid or missing label values outside the positive/neutral/negative enum
- k value outside the allowed range of 1–3
- Malformed record IDs exceeding 80 characters or missing required fields
- Payment failure via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| k | integer | |
| records | array |
Tags
x402
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