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Data Pipeline Runs – Numeric Interval Filter
x402
Data Pipeline Runs – 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 2026-10-17).
Filters a supplied set of data pipeline run records to only those where a chosen numeric field (processed_rows or rejected_rows) falls within a specified numeric range.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data pipeline runs - Numeric interval filter: Numeric interval filter for Data pipeline runs. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded numeric interval filter report.
Output
A filtered subset of the supplied pipeline run records (up to 200 input rows) where the specified numeric field (processed_rows or rejected_rows) falls within the given minimum and maximum bounds. The response is a local descriptive analytics report with no external enrichment or forecasting.
Example use cases
Flag low-throughput pipeline runs
“I have a list of pipeline run records and I want to see only the ones where processed_rows is between 0 and 100 — can you filter this down and show me what's underperforming? Field to filter on is processed_rows, minimum 0, maximum 100.”
Audit runs with high rejection counts
“Here are my ETL run logs for last month — filter them to only the records where rejected_rows is between 10 and 50 so I can investigate what went wrong. Use rejected_rows as the field.”
QA pipeline output within expected range
“I need to validate that my pipeline runs are producing within expected bounds — filter these records to only those where processed_rows is between 500 and 2000 so I can confirm normal operation. The field is processed_rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-range-filter?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a local dataset of data pipeline run records (up to 200 rows) and need to quickly filter them to a bounded numeric interval on either processed_rows or rejected_rows — particularly for lightweight, in-request descriptive analytics without any external data enrichment, forecasting, or aggregation. Prefer this over full analytics platforms when you need a simple, cheap ($0.01 USDC) bounded-range filter on your own supplied records.
Side effects
- Input array is empty or missing — validation error returned
- Minimum value is greater than maximum value — invalid interval error
- Field value is not one of the allowed enum values (processed_rows, rejected_rows) — schema error
- More than 200 rows supplied — request rejected with maxItems violation
- Row missing required fields (row_id, pipeline, date) — validation failure
- Numeric values out of allowed range (±1,000,000,000,000) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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