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Time Series Completeness — Numeric Row Ordering + Two-Measure Correlation
x402
Time Series Completeness — Numeric Row Ordering + 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 2026-10-28).
Analyzes time series completeness records by computing numeric row ordering and two-measure correlation between observed_points and expected_points for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Numeric row ordering + Two-measure correlation: Numeric row ordering + 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 independent analytical reports for the supplied rows: (1) numeric row ordering of the selected field, and (2) two-measure correlation between observed_points and expected_points. All analysis is performed on the supplied data locally with no external lookups or predictions.
Example use cases
Data pipeline completeness audit
“I need to check whether my data pipeline is delivering the expected number of points each day. I have 30 days of records with observed_points and expected_points for two groups — can you run numeric row ordering and correlation analysis on the observed_points field to see how well actual delivery tracks expectations?”
Multi-group dataset gap detection
“Can you analyze these completeness records for my 'web-events' and 'mobile-events' dataset groups? I have about 60 rows of daily observed_points and expected_points from last quarter — run the row ordering and two-measure correlation so I can see where the gaps are worst.”
Monthly reporting on sensor coverage
“I have 90 rows of daily sensor completeness data with observed_points and expected_points across three dataset groups. Can you compute the numeric row ordering and two-measure correlation on the expected_points field so I can include it in my monthly coverage report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-120?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, on-demand statistical analysis of time series completeness data — specifically numeric row ordering combined with two-measure correlation — without needing a live data connection, external predictions, or professional assessment. Best for datasets of up to 200 rows where you want both ordering and correlation in a single low-cost call.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, dataset_group, observed_points, expected_points) — validation error
- Date values not matching YYYY-MM-DD pattern — schema validation failure
- Null values in both measures may reduce correlation reliability
- Payment of 0.01 USDC not completed — request blocked by x402 paywall
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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