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Label Review Analytics: Base-100 Series + Equal-Width Histogram
x402
Label Review Analytics: Base-100 Series + 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 2026-10-24).
Generates two analytical reports — a base-100 indexed time series and an equal-width histogram — from user-supplied label review records (reviewed_records, changed_labels) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Base-100 series + Equal-width histogram: Base-100 series + 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
Two analytical reports: (1) a base-100 indexed series showing relative change in the selected field (reviewed_records or changed_labels) anchored to the specified base row, and (2) an equal-width histogram breaking the selected field's values into the requested number of bins with counts per bin — all computed locally from the supplied data with no external lookups.
Example use cases
QA trend analysis for annotation team
“I have 50 rows of annotation review logs with dates, dataset groups, and reviewed_records counts — can you index them to base-100 starting from row 0 and also give me a 10-bin histogram of reviewed_records so I can see the distribution?”
Label change rate distribution review
“Run a base-100 series and an equal-width histogram with 8 bins on the changed_labels field for my dataset — I've got about 120 review records across three groups from the past quarter.”
ML dataset audit summary report
“I need to audit our labeling pipeline: here are 200 rows of daily label review records. Please generate a base-100 trend (starting from row index 0) and a 5-bin histogram on reviewed_records so I can spot any outliers or unusual days.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-163?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of label review records and need both a normalized trend (base-100 series) and a distributional summary (equal-width histogram) in a single low-cost call ($0.01 USDC). It is ideal for MLOps, annotation QA, or data labeling teams who want offline, deterministic analytics on their own supplied data without any external data fetching, ML inference, or professional assessment.
Side effects
- Rows array is empty or missing — returns validation error
- More than 200 rows supplied — rejected at schema level
- base_index out of range for the provided rows — may produce error or undefined base value
- Null values in reviewed_records or changed_labels may affect histogram and index calculations
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- bins value outside 1–30 range causes validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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