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Transformation Throughput — Record Quality Audit + Numeric Row Ordering
x402
Transformation Throughput — Record Quality Audit + 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 2026-10-15).
Audits data quality and orders rows numerically for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows, returning 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied transformation throughput records (processed_rows, duration_seconds). 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 flagging data issues, nulls, or anomalies in the supplied rows; and (2) a numeric row ordering ranking rows by the specified field (processed_rows or duration_seconds). No external lookups or predictions are made — analysis is performed locally on the supplied data only.
Example use cases
ETL pipeline run quality check
“I have 50 nightly ETL job records with processed_rows and duration_seconds — can you audit them for data quality issues and rank them by processed_rows so I can spot outliers?”
Throughput anomaly detection across groups
“Run a quality audit on my transformation throughput data across dataset groups alpha and beta for October — I want to see which rows have bad values and how they rank by duration_seconds.”
Pre-deployment data validation for pipeline
“Before I sign off on this pipeline run, can you do a record quality check and numeric ordering report on these 120 throughput records? I need to make sure processed_rows and duration_seconds look clean.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-007?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and numeric row ranking on transformation throughput metrics (processed_rows, duration_seconds) in a single call for up to 200 rows. Ideal for data engineers validating ETL pipeline outputs without needing live lookups, ML predictions, or external data enrichment — just local analytical computation on the data you supply.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error returned
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Invalid field enum value (not processed_rows or duration_seconds) — rejected
- All numeric values are null — quality audit may return degenerate results
- Empty rows array — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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