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Time Series Completeness — Grouped Numeric Summary + Equal-Width Histogram
x402
Time Series Completeness — Grouped Numeric Summary + 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 2026-10-19).
Computes a grouped numeric summary and an equal-width histogram for time series completeness data (observed vs. expected data points) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Grouped numeric summary + Equal-width histogram: Grouped numeric summary + Equal-width histogram 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 reports: (1) a grouped numeric summary of the selected field (observed_points or expected_points) broken down by dataset_group, including descriptive statistics such as count, mean, min, max, and percentiles; and (2) an equal-width histogram with the specified number of bins (1–30, default 5) showing the frequency distribution of values across all rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Daily pipeline completeness audit
“I have 120 rows of daily completeness records across 6 dataset groups, each with observed and expected point counts — can you give me a grouped numeric summary and a 10-bin histogram for the observed_points field so I can see where my pipelines are falling short?”
Expected vs observed gap analysis
“Here are 50 rows of time series completeness records across groups A, B, and C — run me a grouped numeric summary and a 5-bin equal-width histogram on the expected_points field so I can understand the distribution of expected data across groups.”
Data quality reporting for multiple sensors
“I've got completeness records for 80 sensor streams across dates in October, with observed and expected daily readings — please produce a grouped numeric summary and a 7-bin histogram on observed_points so I can report on data quality by sensor group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-093?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped descriptive summary and a histogram for time series completeness data (observed vs. expected counts) in a single call, especially when working with up to 200 rows of multi-group time-stamped records and want purely local analytical computation without any external data lookup or live predictions. It is cost-effective at $0.01 USDC for two reports simultaneously.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, dataset_group, date, observed_points, expected_points) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- bins value outside 1–30 range — rejected by schema
- Empty rows array — minItems constraint violation
- Non-numeric values in observed_points or expected_points where number expected — type error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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