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Label Review Analytics: Equal-Width Histogram + Date by Category Pivot
x402
Label Review Analytics: Equal-Width Histogram + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).
Generates two analytical reports — an equal-width histogram and a date-by-category pivot table — from supplied label review data (reviewed_records, changed_labels), for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot for supplied label review records (reviewed_records, changed_labels). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports computed locally from the supplied data: (1) an equal-width histogram showing frequency distribution of the chosen field (reviewed_records or changed_labels) across the specified number of bins (1–30), and (2) a date-by-category pivot table cross-tabulating values by date and dataset_group. No external lookups or predictions are made.
Example use cases
Annotation quality distribution check
“I have 150 rows of label review records from last month — can you generate a histogram with 8 bins on the reviewed_records field so I can see how review volume is distributed across my annotation batches?”
Dataset group activity pivot
“Run a date-by-category pivot on this label review dataset — I want to see how changed_labels break down across my dataset groups (group-a and group-b) over the past two weeks. Here are the rows.”
ML pipeline review audit
“Can you give me both an equal-width histogram with 5 bins and a date-by-category pivot for these label review records from our NLP pipeline? I want to audit where the most label changes are concentrated — use changed_labels as the target field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-173?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have label review data with reviewed_records and changed_labels fields and need both a histogram distribution analysis and a date-by-category pivot in a single low-cost call. Ideal for ML annotation pipelines, data quality audits, and labeling workflow analysis where up to 200 rows need quick statistical summaries without external lookups or predictions.
Side effects
- Exceeding 200 rows returns a validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection
- bins value outside 1–30 range is rejected
- Null values in reviewed_records or changed_labels may affect histogram accuracy
- Missing required row fields (row_id, date, dataset_group) cause schema validation failure
- Payment of 0.01 USDC not completed results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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