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Pipeline Durations Analytics: Record Quality Audit + Date-by-Category Pivot
x402
Pipeline Durations Analytics: Record Quality Audit + Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Runs two independent analytical reports on pipeline duration records — a record quality audit and a date-by-category pivot — for up to 200 rows of run_seconds or processed_rows data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied pipeline durations records (run_seconds, processed_rows). 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 record quality audit flagging missing values, nulls, out-of-range numbers, or malformed dates across the supplied rows; and (2) a date-by-category pivot table summarizing the selected numeric field (run_seconds or processed_rows) grouped by date and dataset_group. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
ETL pipeline health check
“I have a batch of 120 pipeline run logs with columns row_id, dataset_group, date, run_seconds, and processed_rows — can you audit them for data quality issues and also give me a pivot of run_seconds broken down by date and group?”
Processed rows pivot for capacity planning
“Here are 80 pipeline execution records. Audit the data quality and pivot the processed_rows field by date and dataset_group so I can spot which groups are handling the most data on which days.”
Daily pipeline monitoring summary
“I'm monitoring our nightly ETL jobs. Take these 200 pipeline duration records and give me a quality audit plus a date-by-category pivot on run_seconds so I can see where slowdowns are clustering.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-017?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a date-by-category pivot in a single $0.01 call on up to 200 pipeline duration records containing run_seconds and processed_rows. It is ideal for ETL monitoring, pipeline health checks, and operational analytics workflows where the data is already available locally and no external enrichment, prediction, or live data lookup is needed.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) on any row causes validation error
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Payment not included or insufficient USDC — x402 payment required
- Numeric values outside ±1,000,000,000,000 range rejected by schema
- Empty rows array (minItems: 1 not met) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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