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Time Series Completeness: Numeric Distribution + Two-Measure Correlation
x402
Time Series Completeness: Numeric Distribution + Two-Measure Correlation 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 numeric distribution statistics and two-measure correlation for time series completeness records (observed_points vs expected_points) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Numeric distribution + Two-measure correlation: Numeric distribution + Two-measure correlation 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 independent analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram bins) for the selected field across the submitted rows, and (2) a two-measure correlation analysis between observed_points and expected_points across the dataset. Results are computed locally from the supplied data with no external lookups.
Example use cases
Data pipeline completeness audit
“I have daily counts of observed vs expected data points for two pipeline groups over the past month — can you run a numeric distribution and correlation analysis on these completeness records so I can see how well the pipelines are performing?”
Sensor coverage gap analysis
“My sensor network logs expected readings and actual observed readings per day per region — run a distribution summary on the observed_points field and also show me how observed and expected counts correlate across my 150 rows of sensor data.”
Monitoring dashboard validation
“I need to validate my monitoring data — I have up to 200 rows with dataset groups, dates, observed_points, and expected_points. Can you give me both a numeric distribution breakdown and a two-measure correlation report so I can check if my expected and observed counts are tracking together?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-081?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected time series completeness records (observed vs expected data points) and need two types of quick statistical insight — numeric distribution and correlation — without requiring external lookups, predictions, or professional assessment. It is well-suited for data quality audits, pipeline monitoring, and batch completeness checks on up to 200 rows at very low cost ($0.01 USDC for both reports).
Side effects
- Missing required fields (row_id, date, observed_points, expected_points) returns a validation error
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- All null values for the selected field may produce degenerate or empty distribution output
- Payment of 0.01 USDC not provided or rejected causes HTTP 402 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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