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Transformation Throughput — Record Quality Audit + Numeric Distribution
x402
Transformation Throughput — Record Quality Audit + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Audits record quality and computes numeric distribution statistics for transformation throughput data (processed_rows, duration_seconds) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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
Returns two independent reports: (1) a record quality audit covering completeness, nulls, anomalies, and validity issues across the supplied rows; and (2) a numeric distribution report summarizing statistical properties (e.g. min, max, mean, percentiles, spread) for the selected numeric field (processed_rows or duration_seconds). No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
ETL pipeline throughput quality check
“I have 120 rows of transformation logs with row IDs, dates, dataset groups, processed_rows counts, and duration_seconds — can you audit their record quality and show me the numeric distribution for processed_rows so I can spot any anomalies?”
Duration distribution analysis for batch jobs
“Run a record quality audit plus numeric distribution on my 80 batch job records — each has a date, dataset_group, processed_rows, and duration_seconds — and focus the distribution report on duration_seconds.”
Data quality review before pipeline reporting
“Before I send our weekly pipeline report, can you check data quality and compute the numeric distribution for these 40 transformation throughput records grouped by dataset group? I want to flag any bad records and understand the spread of processed_rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-004?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have transformation throughput records with processed_rows and duration_seconds fields and need both a data quality audit and numeric distribution analysis in a single cost-effective call (0.01 USDC for two reports, up to 200 rows). Prefer it over generic analytics tools when you want offline, deterministic statistical analysis without external API calls or ML-based predictions. Ideal for data engineers validating ETL pipeline logs before reporting or escalation.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum, request rejected
- Missing required fields (row_id, date, processed_rows, duration_seconds) on any row — validation error
- Invalid date format (non-YYYY-MM-DD) — schema validation failure
- Numeric fields out of allowed range — rejection
- Invalid field enum value (must be processed_rows or duration_seconds) — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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