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Transformation Throughput Analytics — Record Quality Audit & Date-by-Category Pivot
x402
Transformation Throughput Analytics — Record Quality Audit & Date-by-Category Pivot 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).
Analyzes up to 200 transformation throughput records by producing two offline analytical reports: a record quality audit and a date-by-category pivot on processed_rows or duration_seconds.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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 analytical reports: (1) a record quality audit flagging missing, null, or anomalous values in the supplied rows, and (2) a date-by-category pivot table aggregating the chosen metric (processed_rows or duration_seconds) grouped by date and dataset_group. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline quality audit
“I have 150 rows of ETL job records with row IDs, dataset groups, dates, processed row counts, and duration in seconds. Can you run a record quality audit on them and also pivot processed_rows by date and dataset group so I can see which groups are performing well?”
Duration anomaly review by team
“Here are 80 transformation throughput records from last month, split across three dataset groups. Can you do a quality audit to flag any bad or missing values, and pivot duration_seconds by date and category so I can spot which teams had unusually long runs?”
Daily throughput summary for reporting
“I need to report on our data pipeline performance. I have 200 records with dates, group names, and processed row counts. Please run a quality audit and give me a date-by-category pivot on processed_rows so I can build a summary for the team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-017?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous offline analytical reports — a quality audit plus a date-by-category pivot — on transformation throughput data (processed_rows, duration_seconds) with up to 200 rows, all for a flat $0.01 USDC. Prefer it over single-report endpoints when you want both data quality diagnostics and grouped time-series aggregation in one API call without any external lookups or live data dependencies.
Side effects
- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, date, dataset_group) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- No rows provided (empty array) — minimum 1 row required
- Null values in processed_rows or duration_seconds — handled in quality audit but may affect pivot aggregations
- Invalid field enum value (not processed_rows or duration_seconds) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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