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Pipeline Durations Analytics — Record Quality Audit + String Normalisation + Numeric Distribution
x402
Pipeline Durations Analytics — Record Quality Audit + String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Runs three analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 pipeline duration records containing run_seconds and processed_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution for supplied pipeline durations records (run_seconds, processed_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit flagging nulls, missing values, or anomalies across the supplied rows; (2) a string normalisation report on categorical fields like dataset_group; (3) a numeric distribution summary (min, max, mean, percentiles, etc.) for the chosen numeric field (run_seconds or processed_rows). All computed locally from the supplied data, no external lookups.
Example use cases
ETL pipeline quality health check
“I have a batch of 150 pipeline run logs with run_seconds and processed_rows values — can you audit them for record quality issues, normalise the dataset_group strings, and give me a numeric distribution of run_seconds so I can spot outliers?”
Processed rows distribution profiling
“Here are 80 rows of pipeline execution data including processed_rows counts — please run all three reports (quality audit, string normalisation, and numeric distribution) and focus the distribution analysis on processed_rows.”
Dataset group naming consistency check
“We have pipeline records from multiple teams and I think the dataset_group labels are inconsistent — can you run the string normalisation report alongside a record quality audit on these 60 rows to see what's going on?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-193?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 pipeline duration records and need all three analytical perspectives — quality auditing, string normalisation, and numeric distribution — bundled in a single low-cost call. Ideal for data engineers validating ETL pipeline logs offline without needing live lookups, predictions, or external enrichment.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, run_seconds, processed_rows, dataset_group) on any row causes validation error
- Date field not in YYYY-MM-DD format causes schema rejection
- Empty rows array returns error
- Invalid field enum value (not 'run_seconds' or 'processed_rows') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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