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Label Review Analytics: Daily Sum Series + Equal-Width Histogram
x402
Label Review Analytics: Daily Sum 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 2026-10-15).
Generates two local analytical reports — a daily sum time series and an equal-width histogram — for label review data (reviewed_records or changed_labels) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Daily sum series + Equal-width histogram: Daily sum 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
Returns two independent analytical reports computed locally on the supplied data: (1) a daily sum series showing the aggregated total of the chosen field (reviewed_records or changed_labels) per calendar date, and (2) an equal-width histogram partitioning the chosen field values into the specified number of bins with counts per bin. No external lookups or predictions are performed.
Example use cases
Daily annotation progress tracking
“I have 120 rows of label review data with dates and reviewed_records counts — can you generate a daily sum time series so I can see how many records were reviewed each day, plus a 5-bin histogram of reviewed_records to understand the distribution?”
Changed label distribution analysis
“I want to analyze my changed_labels data across 80 label review sessions — give me both a daily sum series and a 10-bin equal-width histogram on the changed_labels field so I can spot outlier days and see how label changes are distributed.”
Multi-group label review summary
“We have label review data for two dataset groups over the past quarter, about 150 rows total. Can you compute the daily sums for changed_labels and show me a histogram with 8 bins so I can compare annotation activity patterns?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-139?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of label review tabular data and need two quick statistical summaries — a time series and a histogram — computed locally without any external API calls, live predictions, or data leaving your context. It is ideal for lightweight MLOps annotation auditing, QA pipelines, or data labeling team dashboards where you want both temporal aggregation and distributional insight in a single low-cost call.
Side effects
- More than 200 rows submitted — request exceeds the maxItems limit and will be rejected
- Invalid date format — dates not matching YYYY-MM-DD pattern will fail schema validation
- Missing required row fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause validation errors
- bins value outside 1–30 range returns a validation error
- Null values in the chosen field may affect histogram bin boundaries or daily sums
- No rows provided — minItems:1 means an empty array will be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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