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Pipeline Durations — Record Quality Audit + Adjacent Row Changes
x402
Pipeline Durations — Record Quality Audit + Adjacent Row Changes 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 local analytical reports on pipeline duration data: a record quality audit and an adjacent-row change analysis, for up to 200 rows of run_seconds or processed_rows metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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: (1) a record quality audit identifying issues such as null values, out-of-range numbers, or malformed fields across the supplied rows, and (2) an adjacent-row change analysis showing how the selected metric (run_seconds or processed_rows) shifts between consecutive records. All computation is performed locally with no external lookups or predictions.
Example use cases
ETL pipeline health check
“I have 50 rows of daily ETL run logs with run_seconds and processed_rows per dataset group — can you run a record quality audit and flag any adjacent-row changes in the run_seconds field?”
Detecting sudden throughput drops
“Check my pipeline duration dataset for data quality problems and show me where processed_rows changes significantly between consecutive rows — I'll paste the records now.”
Pre-analysis data validation
“Before I start my pipeline performance analysis, audit these 120 pipeline duration records for bad or missing values and tell me where run_seconds jumps or drops between adjacent rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-011?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have pipeline duration data (run_seconds, processed_rows) and need both a data quality audit and a consecutive-row change analysis in a single low-cost call. Ideal for pre-analysis validation of ETL logs or monitoring pipeline performance consistency. Not suitable when you need live data fetching, predictions, external benchmarks, or more than 200 rows per call.
Side effects
- Fewer than 1 row supplied — minimum array size is 1
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) on any row
- Date not in YYYY-MM-DD format — fails pattern validation
- Field selector not one of 'run_seconds' or 'processed_rows' — enum validation error
- Payment not provided or insufficient — x402 payment required ($0.01 USDC)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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