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Transformation Throughput — Numeric Interval Filter + Daily Sum Series
x402
Transformation Throughput — Numeric Interval Filter + 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).
Filters transformation throughput records (processed_rows, duration_seconds) by a numeric interval and generates a daily sum time series from the supplied data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Numeric interval filter + Daily sum series: Numeric interval filter + 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
Two reports: (1) the subset of supplied rows where the chosen field (processed_rows or duration_seconds) falls within the specified [minimum, maximum] interval, and (2) a daily sum time series aggregating the chosen field by date across all supplied rows. Up to 200 input rows supported.
Example use cases
Daily ETL row throughput anomaly check
“I have 50 rows of ETL job logs with date, processed_rows, and duration_seconds for last month — can you filter to only records where processed_rows is between 0 and 1000 and show me the total processed rows summed by day?”
Pipeline duration daily totals by interval
“Filter my pipeline records for duration_seconds between 5 and 120 seconds, then give me a daily sum series so I can see which days had the most total processing time — I'll paste the records now.”
Dataset group throughput trend review
“I want to analyze transformation throughput for groups A and B over the past two weeks — filter where processed_rows is between 50 and 500 and aggregate into a daily total series so I can spot trends.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-125?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 transformation throughput records (with processed_rows and/or duration_seconds fields) and need both a numeric interval filter AND a daily sum aggregation in a single call. It is purpose-built for ETL/pipeline throughput analysis on supplied data without any external lookups or live data connections. Cost-effective at $0.01 for two bundled reports.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required row fields (row_id, date, processed_rows, duration_seconds) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Minimum greater than maximum — may produce empty filter result
- field enum value not recognized — schema validation error
- Empty rows array — rejected by minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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