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Transformation Throughput Analytics — Exact Row Deduplication + Daily Sum Series
x402
Transformation Throughput Analytics — Exact Row 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).
Deduplicates transformation throughput records by exact row match and computes a daily sum time series for processed_rows or duration_seconds fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Exact row deduplication + Daily sum series: Exact row deduplication + Daily sum series 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) a daily sum time series aggregating the selected numeric field (processed_rows or duration_seconds) by date — both computed locally from the supplied data with no external calls.
Example use cases
ETL pipeline daily throughput summary
“I have 120 rows of transformation logs with row_id, dataset_group, date, processed_rows, and duration_seconds — can you remove exact duplicate rows and then give me a daily sum of processed_rows so I can see how many rows my pipeline handled each day?”
Duplicate detection in pipeline duration records
“My pipeline emitted some duplicate throughput records. Can you deduplicate them by exact row match and also compute a daily total for duration_seconds across all groups? I'll send you up to 80 rows.”
Cross-group daily aggregation after deduplication
“I've got throughput data from two dataset groups — group-a and group-b — for October, about 200 rows total. Please deduplicate them exactly and show me the daily sum series for processed_rows so I can compare output volume by day.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-044?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and a daily sum time series for transformation throughput data (processed_rows or duration_seconds) in a single $0.01 call covering up to 200 rows. Ideal for data engineers who want to clean pipeline logs and get a date-aggregated summary simultaneously without separate preprocessing steps. Prefer this over generic analytics tools when your data fits the throughput schema (row_id, dataset_group, date, processed metrics) and you want two bundled local reports with no external data lookups.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error
- Date values not in YYYY-MM-DD format — pattern validation failure
- Numeric fields outside allowed range (±1,000,000,000,000) — schema rejection
- Empty rows array — minItems constraint violation
- Invalid field enum value (not processed_rows or duration_seconds) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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