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Transformation Throughput Analytics — Category Frequencies + Keyed Dataset Comparison
x402
Transformation Throughput Analytics — Category Frequencies + Keyed Dataset Comparison 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).
Analyzes transformation throughput records (processed_rows, duration_seconds) to produce category frequency distributions and a keyed comparison between two supplied datasets, using local analytical engines with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Category frequencies + Keyed dataset comparison: Category frequencies + Keyed dataset comparison 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 category frequency report showing how often each dataset_group appears and aggregated throughput metrics (processed_rows, duration_seconds) per category, and (2) a keyed dataset comparison that aligns rows from the two supplied datasets by row_id/dataset_group and highlights differences in processed_rows and duration_seconds between them. All computation is local with no external data access.
Example use cases
ETL pipeline run comparison
“I ran our nightly ETL pipeline twice this week with slightly different configs — here are the throughput records for both runs with row_id, dataset_group, date, processed_rows, and duration_seconds. Can you give me a category frequency breakdown and a keyed comparison to see where the two runs diverge by group?”
Throughput group frequency audit
“I have 150 transformation job records across dataset groups like 'finance', 'orders', and 'inventory' — each with a date, processed_rows count, and duration_seconds. Can you show me the frequency distribution of jobs per group and compare them against last month's baseline records using keyed matching?”
Data engineering performance review
“We're reviewing pipeline performance across two environments — staging and production. I have up to 200 rows per environment with row_id, dataset_group, date, processed_rows, and duration_seconds. Can you compute category frequencies for staging and run a keyed dataset comparison against production so I can spot throughput discrepancies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-111?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have transformation/ETL throughput data (processed_rows, duration_seconds) organized by dataset_group and date, and you need both a categorical frequency breakdown AND a side-by-side keyed comparison of two dataset versions in a single $0.01 call. Prefer this over single-report endpoints when you need both analyses simultaneously on the same data. Not suitable for live data fetching, real-time monitoring, prediction, or datasets exceeding 200 rows.
Side effects
- Input array exceeds 200 rows — request rejected with validation error
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) — row-level validation failure
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Numeric values outside allowed range (±1,000,000,000,000) — validation rejection
- Empty rows array — minimum item constraint violated
- Mismatched row_ids between primary and secondary datasets — keyed comparison may return unmatched rows
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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