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Data Ingestion Batches — Numeric Interval Filter + Adjacent Row Changes
x402
Data Ingestion Batches — Numeric Interval Filter + Adjacent Row Changes 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 interval on received_rows or accepted_rows, and identifies adjacent row changes, 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 + Adjacent row changes: Numeric interval filter + Adjacent row changes 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) rows from the supplied ingestion batch dataset where the chosen numeric field (received_rows or accepted_rows) falls within the specified minimum–maximum interval, and (2) a detection of adjacent row-to-row changes in that field across the dataset. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline acceptance rate anomaly detection
“I have 150 ingestion batch records across multiple dataset groups — can you filter the ones where accepted_rows falls between 100 and 5000, and also flag any adjacent rows where the value changes significantly? The field I care about is accepted_rows.”
Monitoring received row volume within expected range
“Here are my daily ingestion batch records for the past month — filter them so I only see rows where received_rows is between 500 and 10000, and also show me where adjacent rows shift up or down. Use received_rows as the target field.”
Dataset group ingestion audit
“I need two quick reports on my ingestion batch data: which rows have received_rows values between 0 and 200, and where are the adjacent row-to-row changes? I'll supply the rows with their row_ids, dataset groups, and dates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-127?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data ingestion batch records and need both a numeric interval filter and adjacent row change detection on received_rows or accepted_rows in a single low-cost call. Ideal for ETL monitoring, batch pipeline audits, or data quality checks where you want two complementary views of the same dataset without external lookups or live data access.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) on any row — validation error
- Date format not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected
- Invalid field enum value (not received_rows or accepted_rows) — schema error
- Payment not processed — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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