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Transformation Throughput — Exact Row Deduplication + Adjacent Row Changes
x402
Transformation Throughput — Exact Row Deduplication + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs two local analytical reports on transformation throughput data: exact row deduplication and adjacent row change detection, for up to 200 rows of processed_rows or duration_seconds metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes 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) an exact row deduplication report identifying and removing duplicate records from the supplied throughput data, and (2) an adjacent row changes report showing where consecutive rows differ in the selected metric (processed_rows or duration_seconds). Both reports are computed locally with no external lookups.
Example use cases
ETL pipeline duplicate row cleanup
“I have 150 rows of daily transformation throughput logs with processed_rows and duration_seconds — can you deduplicate the exact duplicates and show me where adjacent rows changed in processed_rows?”
Day-over-day duration change detection
“Here are my pipeline throughput records for the past month across two dataset groups. Can you run exact deduplication and find where consecutive duration_seconds values changed between adjacent rows?”
Data quality audit for throughput dataset
“I need two reports on my transformation throughput data: one that removes exact duplicate records and one that highlights adjacent row changes in the processed_rows field — I have about 80 rows across group-a and group-b.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-046?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific analytical operations on transformation throughput data in a single call: exact duplicate row removal and adjacent/consecutive row change detection. It is ideal for ETL pipeline data quality workflows where you supply your own records (up to 200 rows) and want offline local analysis without any live data lookup, external calls, or prediction. Prefer this over general-purpose analytics when your data specifically has processed_rows and duration_seconds fields grouped by dataset_group and date.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- field enum value not in ['processed_rows','duration_seconds'] — invalid input
- Empty rows array — minimum 1 item required
- All rows are identical — deduplication report returns single row, change report shows no changes
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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