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Transformation Throughput Analytics — Quality Audit + Deduplication + Daily Sum Series
x402
Transformation Throughput Analytics — Quality Audit + Deduplication + Daily Sum Series 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 analytical reports on transformation throughput records: record quality audit, exact row deduplication, and daily sum time series — all computed locally on up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum series 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 computed on the supplied rows: (1) a record quality audit flagging malformed or anomalous entries in processed_rows and duration_seconds, (2) an exact row deduplication report identifying and removing identical records, and (3) a daily sum time series aggregating the selected field (processed_rows or duration_seconds) by date across all dataset groups.
Example use cases
ETL pipeline quality audit
“I have a batch of transformation throughput logs from our ETL pipeline — can you run a quality audit on them, flag any bad records, deduplicate exact duplicates, and show me the daily totals for processed_rows? I'll give you the rows with row_id, dataset_group, date, processed_rows, and duration_seconds.”
Daily duration sum series for reporting
“Take these 80 transformation throughput records and give me a daily sum series for duration_seconds — also run the quality audit and deduplication reports while you're at it. Each row has a row_id, dataset_group, date, processed_rows, and duration_seconds field.”
Deduplication check before data warehouse load
“Before we load this data into the warehouse, can you check these 120 pipeline throughput records for exact duplicate rows and flag any quality issues? Also compute the daily processed_rows totals so we can sanity-check the numbers.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-215?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous analytical reports — quality audit, deduplication, and daily aggregation — on a compact batch of transformation throughput records (up to 200 rows) in a single low-cost call. Ideal for ETL monitoring, pipeline validation workflows, and pre-load data checks where you want local computation with no external lookups or side effects.
Side effects
- Fewer than 1 row or more than 200 rows supplied — request rejected with validation error
- Missing required fields (row_id, date, processed_rows, duration_seconds) cause row-level audit failures
- Invalid date format (not YYYY-MM-DD) may cause parsing errors in the daily sum series
- Null values in processed_rows or duration_seconds are accepted but flagged in the quality audit
- Payment failure via x402 protocol prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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