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Label Review Analytics: Equal-Width Histogram + Keyed Dataset Comparison
x402
Label Review Analytics: Equal-Width Histogram + Keyed Dataset Comparison 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).
Generates two analytical reports—an equal-width histogram and a keyed dataset comparison—for label review records tracking reviewed_records and changed_labels, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Equal-width histogram + Keyed dataset comparison: Equal-width histogram + Keyed dataset comparison 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 independent analytical reports: (1) an equal-width histogram showing bin boundaries and counts for the selected field (reviewed_records or changed_labels) across up to 200 rows, and (2) a keyed dataset comparison report matching rows by row_id between the primary and secondary dataset to surface differences in the numeric fields. Both reports are computed locally with no external lookups.
Example use cases
Annotation sprint quality review
“I have two weeks of label review logs, each row has a date, dataset_group, reviewed_records, and changed_labels. Can you run a histogram with 8 bins on changed_labels and compare this week's dataset against last week's by row key to see where the numbers shifted?”
Multi-team labeling performance comparison
“Compare label review output between my two annotation teams — I'll give you both datasets with matching row IDs. Run an equal-width histogram on reviewed_records with 5 bins and show me the keyed comparison so I can spot which groups diverged.”
QA audit of relabeled records
“I'm auditing a relabeling pass on our ML training data. Run a distribution histogram (10 bins) on changed_labels across my 120-row review log, and compare it against our baseline dataset with the same row IDs to flag any unexpected differences.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-174?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a statistical distribution view (histogram) and a side-by-side keyed comparison of two label review datasets in a single call, specifically for annotation/labeling workflows tracking reviewed_records and changed_labels. Ideal when you already have the data locally and need offline-style analytics without external lookups or predictions. The $0.01 flat fee covers both reports for up to 200 rows, making it cost-effective for batch label QA tasks.
Side effects
- Exceeds 200 row limit — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause validation errors
- bins parameter outside 1–30 range returns an error
- Mismatched row_id keys between primary and comparison dataset result in unmatched rows in the comparison report
- Null numeric values in reviewed_records or changed_labels may be excluded from histogram bins
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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