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Data Ingestion Batch Quality Audit & Exact Row Deduplication
x402
Data Ingestion Batch Quality Audit & Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Runs a record quality audit and exact row deduplication on up to 200 data ingestion batch records (received_rows, accepted_rows), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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 independent reports: (1) a record quality audit covering anomalies, null values, and data integrity issues in the received_rows and accepted_rows fields; and (2) an exact row deduplication report identifying identical records across the supplied batch, all computed locally with no external lookups.
Example use cases
ETL pipeline data quality check
“I need to audit my ETL pipeline's ingestion batch logs for quality issues — here are 80 records with row_id, dataset_group, date, received_rows, and accepted_rows. Can you give me a quality report and flag any exact duplicate rows?”
Ingestion acceptance rate anomaly detection
“Something looks off in our data ingestion batches — can you run a quality audit on these 120 batch records across groups A, B, and C from last week and tell me if any rows are duplicated or if the accepted_rows numbers look problematic?”
Multi-group deduplication before analytics
“Before I load this data into our analytics warehouse, can you check these 150 ingestion batch records for exact duplicate rows and give me a quality audit? Each record has a row_id, dataset_group, date, received_rows, and accepted_rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-002?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and exact deduplication in a single call on ingestion batch records structured with received_rows and accepted_rows counts per dataset group and date. It is ideal for ETL pipeline validation, pre-analytics cleansing, and batch integrity checks on up to 200 rows at low cost ($0.01 USDC for two reports). Prefer this over general-purpose analytics tools when your data is already in the ingestion batch schema format and you want fast, local, offline analysis without external data lookups or predictions.
Side effects
- More than 200 rows submitted — batch size limit exceeded
- Missing required fields (row_id, dataset_group, date, received_rows, or accepted_rows) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema rejection
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — schema error
- Empty rows array — minItems constraint violation
- Payment not provided or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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