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Pipeline Durations Analytics — Record Quality Audit + Daily Sum Series
x402
Pipeline Durations Analytics — Record Quality Audit + 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 2026-10-16).
Performs two independent local analytical reports on pipeline duration records: a record quality audit and a daily sum time series, covering 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 + Daily sum series: Record quality audit + Daily sum series 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 issues such as nulls, out-of-range values, or malformed entries across the supplied rows, and (2) a daily sum time series aggregating the selected metric (run_seconds or processed_rows) by date, computed entirely from the supplied data using local analytical engines with no external lookups.
Example use cases
ETL pipeline health check
“Here are my last 150 ETL pipeline execution records with run_seconds and processed_rows — run a record quality audit on the run_seconds field and give me the daily sum series so I can spot problem days.”
Daily processed rows rollup for reporting
“I have pipeline logs for October with dataset_group, date, and processed_rows — can you generate both a quality audit and a daily sum series for processed_rows so I can include this in my weekly ops report?”
Detecting bad data in pipeline metrics
“Can you audit these 80 pipeline duration records across group-a and group-b for data quality issues, and also give me the daily totals for run_seconds over the date range?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 pipeline execution records and need both a data quality audit and a daily aggregated sum series in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical checks on ETL or data pipeline metrics (run_seconds, processed_rows) where no live data, external lookups, or predictions are needed — just fast, local statistical reporting on supplied data.
Side effects
- Exceeding 200 rows causes rejection — trim input to 200 records
- Missing required fields (row_id, date, dataset_group, run_seconds, processed_rows) cause validation errors
- Date values not matching YYYY-MM-DD pattern are rejected
- Field selector must be exactly 'run_seconds' or 'processed_rows'; other values fail
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array is not accepted (minItems: 1)
- Payment failure (insufficient USDC) prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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