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Transformation Throughput — Numeric Row Ordering + Numeric Interval Filter
x402
Transformation Throughput — Numeric Row Ordering + Numeric Interval Filter 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).
Orders transformation throughput records (processed_rows, duration_seconds) numerically and filters them by a numeric interval, delivering two analytical reports from supplied data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Numeric row ordering + Numeric interval filter: Numeric row ordering + Numeric interval filter 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: one with transformation throughput records ordered numerically by the specified field (processed_rows or duration_seconds), and one filtered to only include records whose field value falls within the specified [minimum, maximum] interval. Up to 200 input rows are supported.
Example use cases
Filter slow ETL jobs by duration
“I have a list of ETL pipeline runs with duration_seconds and processed_rows — can you filter and sort them by duration_seconds, keeping only the runs where duration_seconds is between 30 and 300? Here are the rows: run-1 (group-a, 2026-11-01, 1200 processed_rows, 25 seconds), run-2 (group-b, 2026-11-02, 8000 processed_rows, 150 seconds), run-3 (group-a, 2026-11-03, 300 processed_rows, 400 seconds).”
Rank dataset groups by volume processed
“Sort these transformation records by processed_rows from lowest to highest and only include records where processed_rows falls between 500 and 50000: row-a (batch-1, 2026-09-01, 450 rows, 10 seconds), row-b (batch-2, 2026-09-02, 12000 rows, 40 seconds), row-c (batch-3, 2026-09-03, 75000 rows, 200 seconds), row-d (batch-1, 2026-09-04, 3000 rows, 20 seconds).”
Identify mid-range throughput pipeline runs
“From this set of pipeline throughput records, give me two reports: one sorted numerically by duration_seconds and one filtered to only include records where duration_seconds is between 5 and 60. Records: job-1 (stream-a, 2026-10-10, 100 processed_rows, 3 seconds), job-2 (stream-b, 2026-10-11, 400 processed_rows, 22 seconds), job-3 (stream-a, 2026-10-12, 900 processed_rows, 85 seconds).”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-113?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 transformation throughput records (with processed_rows and duration_seconds fields) and need both a numerically sorted view and a range-filtered subset in a single API call. It is ideal for lightweight, local analytical reporting on ETL or batch job metrics without requiring a full data warehouse query or external analytics platform.
Side effects
- Input array empty or missing — requires at least 1 row
- Row missing required fields (row_id, date, processed_rows, duration_seconds) — validation error
- More than 200 rows submitted — exceeds max item limit
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Minimum value greater than maximum value — may return empty filter result
- processed_rows or duration_seconds out of allowed numeric range — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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