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Pipeline Durations — Record Quality Audit + Numeric Interval Filter
x402
Pipeline Durations — Record Quality Audit + Numeric Interval Filter 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 a record quality audit and numeric interval filter on pipeline duration records (run_seconds, processed_rows), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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 issues such as nulls, invalid values, or anomalies in the pipeline duration records; and (2) a numeric interval filter report listing rows where the selected field (run_seconds or processed_rows) falls outside the specified minimum/maximum range. Covers up to 200 input rows per call.
Example use cases
ETL pipeline health check
“I have a list of 120 pipeline run records with run_seconds and processed_rows values — can you audit them for missing or invalid data and flag any rows where run_seconds is outside 10 to 3600 seconds?”
Detecting anomalously fast pipeline runs
“These are my daily pipeline duration logs for the last month. Run a quality audit and filter out any records where processed_rows is below 1 or above 500000 so I can investigate them.”
Pre-ingestion data validation
“Before I load these pipeline records into our data warehouse, can you check them for quality issues and identify any rows where run_seconds exceeds 86400 — I want to catch any obviously bad durations before they pollute the dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-008?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pipeline execution records with run_seconds and/or processed_rows fields and need both a general data quality audit and a numeric range filter in a single low-cost call. Ideal for pre-ingestion validation, anomaly screening, or routine ETL monitoring on small-to-medium batches (up to 200 rows). Not suitable for real-time streaming, large-scale datasets, or external data lookups.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, run_seconds, processed_rows, dataset_group) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) may cause parsing failures
- Minimum value greater than maximum value may produce empty or nonsensical interval filter results
- Non-numeric values in run_seconds or processed_rows when nulls are not expected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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