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Data Ingestion Batches — Record Quality Audit & Grouped Numeric Summary
x402
Data Ingestion Batches — Record Quality Audit & Grouped Numeric Summary 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).
Runs two local analytical reports on data ingestion batch records: a record quality audit and a grouped numeric summary for received_rows or accepted_rows fields, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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 independent analytical reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, or missing fields in the ingestion batch rows, and (2) a grouped numeric summary of either received_rows or accepted_rows broken down by dataset_group — all computed locally without external lookups.
Example use cases
ETL pipeline batch acceptance audit
“I have a set of daily ingestion batch records with dataset groups and received vs accepted row counts — can you run a quality audit and a grouped summary on my received_rows data to see which groups have the worst acceptance rates? Here are 12 rows across 3 dataset groups dated from 2025-01-01 to 2025-01-12.”
Data quality check for ingestion logs
“Can you audit these 50 ingestion batch rows I collected this month — check for quality issues and give me a grouped numeric breakdown of the accepted_rows field by dataset group so I can spot which pipelines are dropping the most data?”
Weekly ingestion summary by group
“Every Monday I want a grouped numeric summary and a record quality audit of last week's ingestion batches — I'll give you up to 100 rows with row_id, dataset_group, date, received_rows, and accepted_rows. Please analyze the accepted_rows field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-005?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data ingestion batch records and need both a data quality audit and a grouped numeric summary in a single low-cost call ($0.01 USDC). Ideal for ETL monitoring, pipeline health checks, or batch acceptance rate analysis where no external data enrichment or live lookup is required — purely local analytical computation on supplied records.
Side effects
- More than 200 rows submitted — exceeds maximum item limit
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) in any row
- Date field does not match YYYY-MM-DD pattern
- Numeric values outside the allowed range of ±1,000,000,000,000
- Invalid field selector — must be 'received_rows' or 'accepted_rows'
- Empty rows array
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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