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Data Ingestion Batches — Record Quality Audit + Exact Row Deduplication + Numeric Distribution
x402
Data Ingestion Batches — Record Quality Audit + Exact Row Deduplication + Numeric Distribution 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).
Runs three analytical reports (record quality audit, exact row deduplication, and numeric distribution) on up to 200 data ingestion batch records containing received_rows and accepted_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied data ingestion batches records (received_rows, accepted_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit identifying missing, malformed, or out-of-range values across the batch; (2) an exact row deduplication report identifying and removing identical records; (3) a numeric distribution summary of the selected field (received_rows or accepted_rows) including statistics like min, max, mean, and percentile breakdowns. All computed locally with no external lookups.
Example use cases
ETL pipeline data quality check
“I've got a batch of 80 ingestion records from our ETL pipeline with date, dataset_group, received_rows, and accepted_rows fields — can you run a full quality audit, find any exact duplicate rows, and show me the numeric distribution for accepted_rows?”
Deduplication audit for ingestion logs
“Our ingestion logs have 150 rows and I suspect there are some exact duplicates. Can you deduplicate them and also give me a record quality report and the distribution of received_rows values across all records?”
Accepted row drop-off analysis
“I want to understand how accepted_rows are distributed across our dataset groups. Can you run the numeric distribution report on accepted_rows for my 40 ingestion batch records, along with a quality audit and dedup check?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-210?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations — quality audit, exact deduplication, and numeric distribution — on data ingestion batch records in a single cost-efficient call ($0.01 USDC for all three). It is ideal for ETL monitoring, pipeline data validation, and batch log analysis where offline computation on up to 200 rows suffices. Prefer alternatives if you need real-time lookup, predictive analytics, external data enrichment, or batches larger than 200 rows.
Side effects
- Exceeding 200 rows returns an error due to maxItems constraint
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation failure
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems:1 violated) 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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