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Time Series Completeness Analytics — Numeric Distribution + Category Frequencies
x402
Time Series Completeness Analytics — Numeric Distribution + Category Frequencies 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).
Analyzes up to 200 time series completeness records (observed vs expected data points) and returns two local analytical reports: a numeric distribution and category frequency breakdown.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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
Two analytical reports: (1) a numeric distribution of the selected field (observed_points or expected_points) across all submitted rows, showing spread, frequency, and statistical properties; (2) a category frequency table showing how often each dataset_group value appears in the provided records.
Example use cases
Pipeline completeness audit by group
“I have 120 rows of daily completeness records for my data pipelines — each row has a dataset_group, date, observed_points, and expected_points. Can you give me a numeric distribution and frequency breakdown of the observed_points field so I can see which groups are underperforming?”
Sensor coverage gap analysis
“Here are 80 time series completeness records for our sensor network, with dates from last quarter and observed vs expected readings per group. Run a numeric distribution and category frequency report on expected_points so I can understand where our coverage targets were set.”
Monitoring dashboard stats for data quality team
“Our data quality team needs a quick statistical summary — I'll send you 150 completeness rows with dataset_group, date, observed_points, and expected_points. Please compute both a numeric distribution and the category frequencies across dataset groups for the observed_points field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-072?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 time series completeness records and need both a numeric distribution and a category frequency report in a single API call for a flat $0.01 USDC fee. It is ideal for lightweight, offline analytical summarization of observed vs expected data point records without requiring any live data lookup, external integrations, or predictions.
Side effects
- Missing required fields (row_id, date, observed_points, expected_points) causes validation failure
- Submitting more than 200 rows exceeds the row limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation error
- Null values in the selected numeric field may affect distribution accuracy
- Empty rows array returns an error due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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