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Transformation Throughput Analytics — Exact Row Deduplication + Base-100 Series
x402
Transformation Throughput Analytics — Exact Row Deduplication + Base-100 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 and generates a Base-100 indexed time series for processed_rows or duration_seconds metrics, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 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 reports: (1) an exact-row-deduplicated version of the supplied transformation throughput records, and (2) a Base-100 indexed time series for the selected metric field (processed_rows or duration_seconds), anchored at the specified base_index row. No external data is fetched; all analysis runs on the supplied rows only.
Example use cases
ETL pipeline throughput trend indexing
“I have daily ETL job stats with processed_rows and duration_seconds across two dataset groups over the past month. Can you deduplicate them and give me a Base-100 index series for processed_rows starting from the first row so I can see relative throughput growth?”
Duplicate detection in processing logs
“Our data pipeline logs have some accidental duplicate entries. Can you run exact row deduplication on these 150 transformation records and show me the Base-100 series for duration_seconds indexed from row 0 to spot any anomalies?”
Comparing throughput across dataset groups
“I want to normalize transformation throughput for my two dataset groups — group-a and group-b — to a common base-100 scale. Here are about 80 rows with processed_rows and duration_seconds. Please deduplicate and index on processed_rows starting at index 0.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-047?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact duplicate removal and Base-100 normalization of transformation throughput data (processed_rows or duration_seconds) in a single call, without requiring live data lookup or external enrichment. Ideal for data engineering teams auditing ETL pipeline logs or benchmarking relative throughput trends across dataset groups with up to 200 records.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, processed_rows, duration_seconds) cause validation errors
- base_index out of bounds (must be 0–199 and within actual row count)
- date strings not matching YYYY-MM-DD pattern rejected
- Null values in the selected metric field may affect Base-100 series calculation
- Duplicate row_id values may produce unexpected deduplication behavior
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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