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Time Series Completeness — Daily Sum + Two-Measure Correlation
x402
Time Series Completeness — Daily Sum + 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 2026-10-15).
Computes a daily sum series and a two-measure correlation report for time series completeness data (observed vs expected points) over up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Daily sum series + Two-measure correlation: Daily sum series + 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
Returns two analytical reports computed from the supplied rows: (1) a daily sum series aggregating the selected field by date, and (2) a two-measure correlation between observed_points and expected_points. Both reports are computed locally with no external lookups or predictions, covering up to 200 input rows.
Example use cases
Pipeline completeness audit
“I need to check how complete my data pipeline has been this month — I have daily records of how many data points were observed versus expected for each dataset group. Can you compute the daily totals and run a correlation between observed and expected counts across all 30 days?”
Sensor coverage gap detection
“We track observed vs expected readings from IoT sensors daily. Can you run a daily sum series and correlation analysis on our completeness records to see if observed and expected readings are tracking together?”
Data warehouse ingestion monitoring
“I have a CSV of 120 rows showing daily observed_points and expected_points for three dataset groups in our warehouse ingestion pipeline — can you summarize the daily sums and tell me how correlated the two measures are?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-141?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw daily time series completeness records (observed vs expected data points) and need both an aggregated daily sum trend and a linear correlation between the two measures in a single low-cost call. Ideal for data quality monitoring, pipeline auditing, and sensor coverage checks where you supply your own data and need fast, local statistical summaries without external enrichment or live data access.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, observed_points, expected_points) on any row causes validation error
- Malformed date format (not YYYY-MM-DD) triggers schema validation failure
- Null values in both numeric fields may reduce correlation validity
- Insufficient data variation may yield low-significance correlation results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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