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Time Series Completeness Analytics: Equal-Width Histogram + Date-by-Category Pivot
x402
Time Series Completeness 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 2026-10-19).
Analyzes time series completeness records by generating an equal-width histogram and a date-by-category pivot table for observed vs. expected data points, supporting up to 200 rows in two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot for supplied time series completeness records (observed_points, expected_points). 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 with the specified number of bins (1–30) showing the frequency distribution of the selected field (observed_points or expected_points) across the supplied rows, and (2) a date-by-category pivot table cross-tabulating values by date and dataset_group. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Data pipeline completeness audit
“I have daily completeness records for two datasets — 'sensor-feed' and 'clickstream' — covering October 2026, with observed and expected point counts per day. Can you run a 5-bin equal-width histogram plus a date-by-category pivot on the observed_points so I can spot where my pipelines are dropping data?”
Expected points distribution review
“Here are 50 rows of completeness records across three dataset groups with dates and expected_points values. Can you give me a 10-bin histogram and a date-by-category pivot focused on expected_points, so my team can see how the expected load is distributed?”
Monthly completeness report for stakeholders
“I've got end-of-month time series completeness data — about 120 rows covering groups A, B, and C across November 2026. Please generate a 7-bin equal-width histogram and a date-by-category pivot on observed_points so I can include both charts in the stakeholder report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-173?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a histogram distribution view and a date-by-category pivot on the same time series completeness dataset in a single paid call. It is ideal for data engineers and analysts who supply their own completeness records (observed vs. expected points) and need offline statistical summaries without any external data fetching, prediction, or live lookup. It is not suitable for real-time monitoring, large datasets exceeding 200 rows, or use cases requiring professional assessment.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (non-YYYY-MM-DD) causes row validation failure
- bins value outside 1–30 range triggers schema validation error
- Missing required fields (row_id, date, observed_points, expected_points) causes row rejection
- All null values in the selected field may produce an empty or degenerate histogram
- Insufficient USDC balance results in payment failure before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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