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Pipeline Durations — Record Quality Audit + String Normalisation
x402
Pipeline Durations — Record Quality Audit + String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Audits data quality and normalises strings for pipeline duration records (run_seconds, processed_rows) across up to 200 rows, returning 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Record quality audit + String normalisation: Record quality audit + String normalisation 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
Two independent analytical reports per call: (1) a record quality audit covering issues such as nulls, out-of-range values, duplicates, and anomalies in run_seconds and processed_rows; (2) a string normalisation report covering the dataset_group and other string fields — all computed locally without external lookups or predictions.
Example use cases
ETL pipeline health check
“I've got 150 rows of pipeline execution logs with run_seconds and processed_rows — can you audit them for data quality issues and normalise any messy string fields like dataset_group? Dates range from 2026-09-01 to 2026-09-30.”
Pre-warehouse data validation
“Before I load my pipeline metrics into the data warehouse, can you check these 80 records for quality problems — things like nulls, negatives, or weird values in run_seconds and processed_rows — and also clean up the dataset_group strings?”
Anomaly detection in batch runs
“We had some weird batch pipeline runs last week and I suspect bad data. Can you audit these 200 rows of pipeline duration records for quality issues and tell me if anything in run_seconds or processed_rows looks off, plus normalise the string columns?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-001?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, offline, cost-effective dual-report (quality audit + string normalisation) on pipeline duration records (run_seconds, processed_rows) with no external data fetching or prediction requirements, and your dataset fits within 200 rows per call.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, run_seconds, processed_rows, dataset_group) causes row rejection
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- Numeric values outside ±1,000,000,000,000 boundary are rejected
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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