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Time Series Completeness — Duplicate Key Report + Daily Sum Series
x402
Time Series Completeness — Duplicate Key Report + Daily Sum Series 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).
Analyzes supplied time series completeness records to produce a duplicate key report and a daily sum series for observed or expected data points, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time series completeness — Duplicate key report + Daily sum series: Duplicate key report + Daily sum series 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 duplicate key report identifying rows with duplicate row_id/date/dataset_group combinations, and (2) a daily sum series aggregating the chosen field (observed_points or expected_points) by date — all computed locally with no external lookups.
Example use cases
Data pipeline completeness audit
“I have daily completeness records for two dataset groups — 'pipeline-a' and 'pipeline-b' — with observed and expected point counts for the past 30 days. Can you check for duplicate row IDs and give me a daily sum of observed_points across all rows?”
Sensor data gap detection
“We're tracking sensor readings completeness across multiple groups. Can you run both a duplicate key check and a daily sum series on our expected_points field for these 120 rows of completeness records?”
ETL job monitoring report
“My ETL job produces daily completeness logs with observed_points and expected_points per dataset group. Can you analyze these records — up to 80 rows — for any duplicate keys and compute the daily sum totals for observed_points?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-060?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key audit and a daily sum aggregation on time series completeness records in a single call. It is ideal for data engineering pipelines, ETL monitoring, and completeness auditing workflows where you have up to 200 rows of observed/expected point data and want two complementary reports for the cost of one call.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, observed_points, expected_points) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Empty rows array returns an error
- Numeric values outside allowed range (-1T to 1T) are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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