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Pipeline Durations Analytics: Quality Audit + String Normalisation + Numeric Row Ordering
x402
Pipeline Durations Analytics: Quality Audit + String Normalisation + Numeric Row Ordering 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 — record quality audit, string normalisation, and numeric row ordering — for up to 200 rows of run_seconds and processed_rows data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering 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
Returns three independent reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates; (2) a string normalisation report cleaning dataset_group and related text fields; and (3) a numeric row ordering report ranking rows by the selected field (run_seconds or processed_rows). All processing is done locally with no external lookups.
Example use cases
ETL pipeline health check
“I have 50 pipeline run records with row IDs, dates, dataset group names, run_seconds and processed_rows values — can you run a quality audit on them, normalise the string fields, and order them by run_seconds so I can see which jobs are slowest?”
Data quality review before reporting
“Before I hand off this pipeline dataset to the reporting team, can you audit the record quality, clean up the dataset_group strings, and sort everything numerically by processed_rows? I have about 120 rows covering October runs.”
Debugging erratic pipeline durations
“My pipeline logs have some suspicious entries — can you do a quality audit on these 80 records, normalise the group name strings, and give me a numeric ordering of run_seconds so I can spot outliers? The field I care about most is run_seconds.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, cost-effective ($0.01 USDC for three reports) local analytical pass over pipeline duration data — specifically combining quality auditing, string normalisation, and numeric ordering in a single call without any external data lookups, predictions, or side effects. Ideal for pre-reporting data hygiene, debugging ETL anomalies, or validating pipeline logs before downstream use.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, date, run_seconds, processed_rows, dataset_group) — validation error
- Date strings not matching YYYY-MM-DD pattern — schema rejection
- Invalid field enum value (not run_seconds or processed_rows) — rejection
- Empty rows array — minItems violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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