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Data Ingestion Batches — String Normalisation + Date-by-Category Pivot
x402
Data Ingestion Batches — String Normalisation + 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 2026-10-15).
Runs string normalisation and a date-by-category pivot analysis on up to 200 rows of data ingestion batch records (received_rows, accepted_rows), returning two local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — String normalisation + Date by category pivot: String normalisation + 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
Two analytical reports: (1) a string normalisation report showing cleaned/standardised string fields across the submitted rows, and (2) a date-by-category pivot table cross-referencing the selected numeric field (received_rows or accepted_rows) by date and dataset_group. No external lookups or predictions are included — all analysis is local and deterministic.
Example use cases
Daily ingestion pipeline quality check
“I have 50 rows of ingestion batch logs with dataset_group, date, received_rows, and accepted_rows. Can you normalise the string fields and give me a date-by-category pivot on accepted_rows so I can see which groups are underperforming by day?”
Multi-group ETL acceptance rate breakdown
“We run ETL jobs across three dataset groups every day. Can you take these ingestion batch records and pivot the received_rows by date and group, plus normalise the string labels? I want two clean reports to share with the data team.”
Spot-checking batch ingestion anomalies
“I want to spot-check our ingestion batches from last month — here are the rows with row_id, date, dataset_group, received_rows, and accepted_rows. Please run string normalisation and a date-by-category pivot on received_rows so I can see where the numbers look off.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of data ingestion batch records and need both string normalisation and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for ETL pipeline QA, ingestion acceptance rate analysis, and batch data audits where no live external lookup or prediction is required — everything runs locally and deterministically.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, dataset_group, received_rows, accepted_rows) causes row rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Invalid field enum value (not 'received_rows' or 'accepted_rows') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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