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Time Series Completeness — Secondary-Measure Weighted Mean & Keyed Dataset Comparison
x402
Time Series Completeness — Secondary-Measure Weighted Mean & Keyed Dataset Comparison 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).
Computes secondary-measure weighted mean and performs keyed dataset comparison on up to 200 rows of time series completeness records (observed_points vs expected_points), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + Keyed dataset comparison 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: (1) a secondary-measure weighted mean computed over the primary rows using the selected field (observed_points or expected_points) weighted by the secondary measure, and (2) a keyed dataset comparison between the primary rows and the 'other' dataset, identifying matching, differing, and missing row keys — all computed locally with no external lookups.
Example use cases
Pipeline completeness drift detection
“I have daily observed_points and expected_points for my ETL pipeline split into group-a and group-b from last quarter. Can you compute the weighted mean of observed_points across those groups and then compare my baseline dataset against my current dataset row by row to see where completeness has drifted?”
Sensor network coverage audit
“I'm auditing two snapshots of sensor coverage — each row has a date, sensor group, observed readings, and expected readings. Run the secondary-measure weighted mean on expected_points and do a keyed comparison between last month's snapshot and this month's to flag any coverage changes.”
Data quality report for two ingestion groups
“Here are up to 150 rows split across ingestion-group-x and ingestion-group-y with daily observed_points and expected_points. Please give me both a weighted mean report and a keyed dataset comparison between my pre-migration and post-migration completeness records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-186?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary analytical reports on time series completeness data in a single low-cost call ($0.01 USDC): a weighted mean that uses one completeness measure to weight the other, and a side-by-side keyed comparison between two dataset versions. It is ideal for data quality auditing, pipeline health checks, or before/after completeness comparisons across named groups, with up to 200 rows per call. It does not perform predictions, live lookups, or external actions.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, observed_points, expected_points) — validation error
- Date strings not matching YYYY-MM-DD pattern — schema rejection
- Null values in numeric fields may affect weighted mean calculation
- 'other' dataset missing or malformed — comparison report may be incomplete or error
- Payment not completed via x402 protocol — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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