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Time Series Completeness — Exact Row Deduplication + Secondary-Measure Weighted Mean
x402
Time Series Completeness — Exact Row Deduplication + Secondary-Measure Weighted Mean 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).
Deduplicates time series completeness records exactly by row and computes a secondary-measure weighted mean across observed_points and expected_points, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + Secondary-measure weighted mean 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: (1) a deduplicated row set with exact duplicate rows removed based on all row fields, and (2) a weighted mean calculation for the selected secondary measure (observed_points or expected_points) across the supplied records, including summary statistics per dataset group or overall.
Example use cases
Daily pipeline completeness audit
“I have daily completeness logs for my data pipelines with observed and expected point counts per dataset group. Can you deduplicate the rows exactly and give me a weighted mean report on observed_points so I can see where my pipelines are underperforming?”
Sensor data gap analysis
“Here are 150 rows of sensor completeness records by date and sensor group, each with observed_points and expected_points. Please remove any exact duplicate rows and compute a weighted mean on expected_points to help me understand coverage gaps.”
Multi-group dataset completeness summary
“I'm tracking completeness across several dataset groups over the past quarter — I have about 180 rows. Can you deduplicate them and compute a secondary-measure weighted mean on observed_points, and send back both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-051?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and a weighted mean computation on time series completeness data (observed vs expected points) in a single call, without needing external lookups, predictions, or live data. It is ideal for batch post-processing of completeness audit logs, pipeline monitoring exports, or sensor coverage summaries up to 200 rows where two simultaneous analytical reports are needed cost-efficiently at $0.01 USDC.
Side effects
- Input array exceeds 200 rows — request is rejected
- Missing required fields (row_id, date, observed_points, expected_points) cause validation errors
- Dates not matching YYYY-MM-DD pattern are rejected
- All rows are duplicates, resulting in a minimal deduplicated output
- Null values in observed_points or expected_points may affect weighted mean calculation
- Payment of 0.01 USDC not supplied — request fails with 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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