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Label Review Analytics: Numeric Interval Filter + Equal-Width Histogram
x402
Label Review Analytics: Numeric Interval Filter + Equal-Width Histogram 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).
Runs two analytical reports on label review records — a numeric interval filter and an equal-width histogram — for up to 200 rows of reviewed_records or changed_labels data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Numeric interval filter + Equal-width histogram: Numeric interval filter + Equal-width histogram 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) a numeric interval filter listing which submitted rows have the selected field (reviewed_records or changed_labels) falling within the specified minimum–maximum range, and (2) an equal-width histogram breaking the field's value range into the requested number of bins with counts per bin. Both reports operate on the supplied rows locally with no external lookups.
Example use cases
QA distribution check for annotation sprint
“I have 120 label review records from last week's annotation sprint. Can you filter them to only show rows where changed_labels is between 1 and 25, and also build a 10-bin histogram of changed_labels so I can see where most of the label changes cluster?”
Outlier detection in reviewed records
“Here are 80 label review rows across two dataset groups. Filter them to rows where reviewed_records falls between 50 and 300, and give me a 5-bin equal-width histogram of reviewed_records — I want to spot if any groups are skewing the distribution.”
Dataset group review volume analysis
“I've got 200 label review entries from our NLP pipeline. Generate a 15-bin histogram of changed_labels and filter to entries where changed_labels is between 0 and 100, so I can see the frequency distribution of label edits across the full range.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-129?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have label review records (with reviewed_records and changed_labels fields) and need both a range-filtered subset and a histogram distribution in a single API call for up to 200 rows. It is purpose-built for ML annotation QA workflows where understanding the distribution and range of label changes or review volumes is the primary goal. Prefer this over general analytics tools when working with the specific label review schema and when cost efficiency ($0.01 for two reports) matters.
Side effects
- Fewer than 1 row submitted — API returns validation error
- More than 200 rows submitted — request rejected
- bins value outside 1–30 range — validation error
- field value not in enum [reviewed_records, changed_labels] — rejected
- minimum greater than maximum — may produce empty filter result or error
- Rows missing required fields (row_id, date, reviewed_records, changed_labels) — validation failure
- All values null for selected field — histogram may be empty or degenerate
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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