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Pipeline Durations Analytics: Numeric Interval Filter + Date-by-Category Pivot
x402
Pipeline Durations Analytics: Numeric Interval Filter + Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Runs two local analytical reports on pipeline duration data — a numeric interval filter and a date-by-category pivot — for up to 200 supplied rows of run_seconds and processed_rows data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot for supplied pipeline durations records (run_seconds, processed_rows). 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 derived from the supplied pipeline duration records: (1) rows filtered to only those where the selected field (run_seconds or processed_rows) falls within the specified numeric minimum-maximum interval, and (2) a pivot table crossing date against dataset_group, aggregating the selected metric — all computed locally from supplied data with no external lookups, covering up to 200 input rows.
Example use cases
Slow pipeline identification by time window
“Here's my pipeline log data for the last two weeks — filter all runs where run_seconds is between 300 and 3600 so I can flag the slow ones, and also give me a pivot of run_seconds by date and dataset_group.”
Processed rows throughput audit by category
“I want to audit how many rows each of my dataset groups processed each day — can you pivot processed_rows by date and dataset_group, and also filter to only show records where processed_rows is between 1000 and 50000?”
ETL job duration range analysis for SLA reporting
“We need to check SLA compliance — filter our ETL job records to only those where run_seconds falls between 0 and 900 seconds, and also produce a date-by-category pivot of run_seconds so we can spot which groups are breaching the limit on which days.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-133?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already collected pipeline duration records (up to 200 rows) and need two quick, offline analytical views: a numeric range filter and a date-by-category pivot — without needing any live data lookup or external enrichment. It is well-suited for ETL monitoring, SLA auditing, or batch job performance review where the data is already on hand and you want structured summaries at minimal cost ($0.01 USDC for both reports).
Side effects
- Input exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) cause validation errors
- Date values not matching YYYY-MM-DD pattern are rejected
- Minimum greater than maximum produces empty interval filter results
- Null values in the selected numeric field may be excluded from interval filtering
- Invalid field enum value (not 'run_seconds' or 'processed_rows') causes a schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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