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Pipeline Durations — Record Quality Audit + Grouped Numeric Summary
x402
Pipeline Durations — Record Quality Audit + Grouped Numeric Summary 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 analytical reports on pipeline duration data: a record quality audit and a grouped numeric summary, for up to 200 rows of run_seconds and processed_rows data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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 identifying missing, null, out-of-range, or malformed values across the supplied rows, and (2) a grouped numeric summary with descriptive statistics (e.g. count, mean, min, max) for the selected field (run_seconds or processed_rows) segmented by dataset_group. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline health monitoring
“I have a week's worth of pipeline run logs with run times and row counts across two dataset groups — can you audit the record quality and give me a grouped numeric summary of the run_seconds so I can spot which groups are slowest?”
Data quality check before reporting
“Before I publish my pipeline performance report, can you check these 50 pipeline duration records for quality issues and also give me grouped statistics on processed_rows broken down by dataset group?”
Anomaly investigation in pipeline logs
“I've got 120 pipeline duration records from last month across several dataset groups and I want to know if there are any bad or missing values, plus a numeric summary of run_seconds grouped by dataset_group so I can see if any group is behaving differently.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-005?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and grouped descriptive statistics on pipeline duration records in a single call. It is ideal for data engineers and analytics teams who want to validate their ETL pipeline logs and understand performance distributions by dataset group without building their own analysis tooling. Best suited for batch post-hoc analysis of up to 200 pipeline run records when no live prediction or external data enrichment is needed.
Side effects
- More than 200 rows supplied — request rejected or truncated
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) cause row-level audit failures
- Invalid date format (not YYYY-MM-DD) triggers validation errors
- Field enum value not in ['run_seconds','processed_rows'] causes request rejection
- All-null values in the selected field may produce empty or degenerate summary statistics
- Malformed JSON body returns 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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