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Data Ingestion Batches — Adjacent Row Changes & Date-by-Category Pivot Analytics
x402
Data Ingestion Batches — Adjacent Row Changes & Date-by-Category Pivot Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Runs two analytical reports on data ingestion batch records: adjacent row-to-row change detection and a date-by-category pivot table, for up to 200 rows of received/accepted row counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Adjacent row changes + Date by category pivot: Adjacent row changes + 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) an adjacent row changes report showing delta values between consecutive rows for the selected field (received_rows or accepted_rows), and (2) a date-by-category pivot table grouping the selected metric by date and dataset_group. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline acceptance rate audit
“I have my ETL batch records for the past month — each row has a row_id, dataset_group, date, received_rows, and accepted_rows. Can you run the adjacent row changes report and the date-by-category pivot on accepted_rows so I can see where batches dropped off?”
Daily ingestion volume comparison by group
“Here are 150 rows of ingestion batch data across two dataset groups — group-a and group-b — with dates and received_rows counts. Run the adjacent row changes and date pivot reports using received_rows so I can compare daily volumes side by side.”
Spot sequential drops in accepted data
“I want to catch any sudden drops between consecutive ingestion batches. Can you analyze these batch records — row_id, dataset_group, date, received_rows, accepted_rows — using the adjacent row changes and date-by-category pivot reports on accepted_rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-160?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data ingestion batch records with received/accepted row counts and need both a sequential change analysis AND a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for ETL monitoring, pipeline audits, and batch acceptance tracking where no live data lookup or external enrichment is needed — everything is computed from your supplied data.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation errors
- Invalid date format (must be YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array rejected (minItems: 1)
- Invalid field enum value (must be 'received_rows' or 'accepted_rows') causes error
- Payment failure via x402 protocol results in no response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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