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Pipeline Durations Analytics: Record Quality Audit + String Normalisation + Grouped Numeric Summary
x402
Pipeline Durations Analytics: Record Quality Audit + String Normalisation + 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 2026-10-18).
Runs three local analytical reports on pipeline duration records — a record quality audit, string normalisation, and grouped numeric summary — for up to 200 rows of run_seconds or processed_rows data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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, out-of-range values, and anomalies; (2) a string normalisation report cleaning and standardising dataset_group and other string fields; and (3) a grouped numeric summary with descriptive statistics (e.g. count, mean, min, max) for the selected numeric field (run_seconds or processed_rows) broken down by dataset_group. All processing is local with no external lookups.
Example use cases
ETL pipeline quality audit
“I've got 120 pipeline run records with columns row_id, dataset_group, date, run_seconds, and processed_rows — can you audit them for data quality issues, normalise the dataset_group strings, and give me a grouped numeric summary of run_seconds across groups?”
Processed rows grouped stats
“Run a quality audit, string normalisation, and grouped numeric summary on my 80 pipeline records, and focus the numeric summary on the processed_rows field rather than run_seconds.”
Spot-checking small pipeline batch
“I have 4 pipeline duration records for October 2026 — row-1 through row-4 in groups group-a and group-b — can you check them for quality issues, clean up the group name strings, and summarise run_seconds by group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 pipeline duration records (with run_seconds and/or processed_rows) and need all three of a quality audit, string normalisation, and grouped numeric summary in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical tasks on supplied data where no live data lookup, external enrichment, or predictive modelling is required.
Side effects
- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) in any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejection
- Empty rows array (minItems:1 not satisfied) — error
- Invalid field enum value (not run_seconds or processed_rows) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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