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Transformation Throughput Analytics: Quality Audit + Deduplication + Grouped Numeric Summary
x402
Transformation Throughput Analytics: Quality Audit + Deduplication + 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 2026-10-28).
Runs three local analytical reports on transformation throughput records: a record quality audit, exact row deduplication, and a grouped numeric summary of processed_rows or duration_seconds.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary for supplied transformation throughput records (processed_rows, duration_seconds). 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 analytical reports: (1) a record quality audit flagging nulls, format violations, and out-of-range values; (2) an exact row deduplication report identifying and removing fully duplicate records; and (3) a grouped numeric summary (count, sum, mean, min, max) of the selected numeric field (processed_rows or duration_seconds) aggregated by dataset_group. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
ETL pipeline data quality audit
“I have about 150 transformation throughput records from last month's ETL runs — can you check them for data quality issues, flag any exact duplicate rows, and give me a grouped summary of processed_rows by dataset_group?”
Deduplication before warehouse load
“Before I load my transformation logs into the warehouse, can you run an exact row deduplication check plus a quality audit on these records? I need to know which rows are duplicates and whether the data looks clean — field to summarize is duration_seconds.”
Pipeline performance summary by group
“I have daily transformation throughput records across 5 dataset groups over the past 30 days — can you give me a grouped numeric summary of duration_seconds along with a quality audit and dedup report on all the rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-211?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations on transformation throughput data in a single call for $0.01 USDC: quality auditing, exact deduplication, and grouped numeric aggregation. Ideal for data engineers validating ETL pipeline records before downstream loads, or analysts who want a quick combined health-check and summary on up to 200 rows without any external data lookups or predictions.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) causes a schema validation error
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Empty rows array (minItems: 1 not met) causes a request rejection
- Invalid field enum value (not processed_rows or duration_seconds) returns an error
- Payment failure or insufficient USDC balance prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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