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Data Pipeline Runs - Daily Sum Series
x402
Data Pipeline Runs - 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 2026-10-17).
Computes daily sum totals for data pipeline run metrics (processed rows or rejected rows) across up to 200 supplied typed records, grouped by pipeline and date.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data pipeline runs - Daily sum series: Daily sum series 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 daily sum series report.
Output
A daily sum series report showing the total of the selected metric (processed_rows or rejected_rows) aggregated by date across all supplied pipeline run records, presented as a bounded descriptive analytics report with no enrichment or forecasting.
Example use cases
Daily throughput report for ETL pipelines
“I have a list of pipeline run records for our ingestion and transformation pipelines over the last 30 days. Can you sum up the processed_rows by date so I can see our daily data throughput trend?”
Rejected row spikes by date
“Here are 120 pipeline run records from our data warehouse. Can you aggregate the rejected_rows field into a daily sum series so I can spot which days had the most failures?”
Multi-pipeline daily volume comparison
“I've got run logs for three pipelines — 'group-a', 'group-b', and 'group-c' — and I want to see the total processed_rows summed up per day across all of them. Can you generate that daily sum report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-date-series?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw pipeline run records and need a quick, local daily sum aggregation of either processed or rejected rows without requiring an external analytics platform or forecast. It is ideal for lightweight descriptive reporting on up to 200 records at very low cost ($0.01 USDC), particularly when you want a bounded, no-enrichment daily time series for ETL or data pipeline monitoring use cases.
Side effects
- Missing required fields (row_id, pipeline, date, processed_rows, rejected_rows) returns a validation error
- Date field not matching YYYY-MM-DD pattern causes rejection
- Supplying more than 200 rows exceeds the maxItems limit
- Empty rows array (minItems:1 violated) returns an error
- Invalid field enum value (not 'processed_rows' or 'rejected_rows') causes a schema validation failure
- Payment not included or insufficient USDC causes a 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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