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Data Ingestion Batches — Category Frequencies + Numeric Interval Filter
x402
Data Ingestion Batches — Category Frequencies + 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 2026-10-18).
Analyzes up to 200 data ingestion batch records to produce category frequency counts by dataset_group and filters rows by a numeric interval on received_rows or accepted_rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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 independent reports: (1) a category frequency table showing how many records belong to each distinct dataset_group value, and (2) a filtered subset of rows where the chosen numeric field (received_rows or accepted_rows) falls within the specified minimum–maximum interval. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline acceptance rate audit
“I have 120 ingestion batch records with dataset_group and accepted_rows fields. Can you count how many records belong to each dataset_group and then show me only the rows where accepted_rows falls between 10 and 500?”
Daily ingestion volume range check
“Here are my daily ingestion batch logs for October — each row has a dataset_group, received_rows, and accepted_rows. Give me the frequency breakdown by dataset_group and filter the records where received_rows is between 50 and 1000.”
Data quality group distribution report
“I need two reports on my ingestion batch data: first, how many records are in each dataset_group category, and second, which rows have accepted_rows between 0 and 100. Here are 80 rows with row_id, date, dataset_group, received_rows, and accepted_rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-101?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data ingestion batch records and need both a categorical frequency breakdown by dataset_group AND a numeric range filter on received_rows or accepted_rows in a single low-cost call. It is ideal for lightweight ETL monitoring, data quality spot-checks, and pipeline audits that do not require live database access, ML predictions, or external data enrichment.
Side effects
- Exceeding 200 rows returns an error or truncation
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Minimum greater than maximum may return empty interval filter results
- Null values in the selected numeric field may be excluded from interval filter
- Payment failure (non-payment or wrong amount) blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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