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Data Ingestion Batches — Numeric Interval Filter + Date by Category Pivot
x402
Data Ingestion Batches — 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 2026-10-17).
Filters data ingestion batch records by a numeric range and produces a date-by-category pivot table for received_rows or accepted_rows, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot for supplied data ingestion batches records (received_rows, accepted_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: (1) a filtered list of ingestion batch rows where the chosen numeric field (received_rows or accepted_rows) falls within the specified minimum–maximum interval, and (2) a pivot table cross-tabulating dates against dataset_group categories for the chosen measure. Both reports are computed locally from the supplied data without any external lookups.
Example use cases
Spotting low-acceptance ingestion windows
“Here are my daily ingestion batches for October — can you filter to only the records where accepted_rows is between 0 and 50, and also pivot accepted_rows by date and dataset group so I can see which groups had the worst acceptance rates?”
Monitoring high-volume batch days
“I've got 150 rows of ingestion batch data across three dataset groups. Filter them to received_rows between 5000 and 50000, and give me a date-by-group pivot for received_rows so I can spot which days had the heaviest loads.”
QA report on recent data pipeline runs
“Run two reports on these ingestion batch records: first filter to rows where received_rows is between 1 and 200, then pivot accepted_rows by date and dataset_group — I want to QA our pipeline's acceptance rate for last week.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-133?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data ingestion batch records with received_rows and accepted_rows metrics and need both a numeric range filter and a date-by-category pivot in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics when your data fits the exact schema (row_id, dataset_group, date, received_rows, accepted_rows) and you want two complementary views — interval filtering plus pivot — without setting up external analytics infrastructure.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Invalid field enum value (must be 'received_rows' or 'accepted_rows') — error response
- minimum greater than maximum — may return empty filter results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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