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Transformation Throughput — Duplicate Key Report + Adjacent Row Changes
x402
Transformation Throughput — Duplicate Key Report + 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 2026-10-28).
Analyzes supplied transformation throughput records to produce two reports: a duplicate key report and an adjacent row changes report, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Duplicate key report + Adjacent row changes: Duplicate key report + 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 independent analytical reports for the supplied rows: (1) a duplicate key report identifying any repeated row_id values, and (2) an adjacent row changes report highlighting consecutive rows where the selected metric field (processed_rows or duration_seconds) changed. No external lookups or predictions are made; analysis is performed locally on the supplied data.
Example use cases
ETL pipeline duplicate key audit
“I have a list of up to 150 ETL job records with row IDs, dataset groups, dates, processed row counts, and duration in seconds — can you check them for duplicate row keys and show me where adjacent rows changed in processed_rows?”
Spot sequential throughput shifts
“Here are my daily transformation logs for the last quarter, each with a row_id, dataset_group, date, processed_rows, and duration_seconds. Run the adjacent row changes report on duration_seconds so I can see where processing time jumped between consecutive entries.”
Data pipeline quality check before merge
“Before I merge these pipeline throughput records into our warehouse, can you scan them for duplicate key collisions and flag any adjacent row changes in processed_rows? I have about 80 rows with row_id, dataset_group, date, processed_rows, and duration_seconds.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-062?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key check and an adjacent row change analysis on transformation throughput records (processed_rows and duration_seconds) in a single $0.01 call for up to 200 rows. Ideal for lightweight, offline data quality checks on ETL or pipeline logs without requiring external data sources, predictions, or live lookups.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum limit
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value outside allowed numeric range — rejected
- Invalid field enum value (not processed_rows or duration_seconds) — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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