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Data Ingestion Batches — Duplicate Key Report + IQR Outlier Flags
x402
Data Ingestion Batches — Duplicate Key Report + IQR Outlier Flags 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).
Analyzes up to 200 data ingestion batch records to produce a duplicate key report and IQR-based outlier flags for received_rows or accepted_rows metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Duplicate key report + IQR outlier flags: Duplicate key report + IQR outlier flags 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 analytical reports: (1) a duplicate key report identifying any repeated row_id values across the submitted batch records, and (2) IQR-based outlier flags marking records whose received_rows or accepted_rows values fall outside the interquartile range bounds — all computed locally with no external lookups.
Example use cases
ETL pipeline duplicate key audit
“I've got 120 rows of daily ingestion batch records — each has a row_id, dataset_group, date, received_rows, and accepted_rows. Can you run a duplicate key report on them and also flag any IQR outliers in accepted_rows so I can catch data quality issues before loading to the warehouse?”
Anomaly detection in data ingestion metrics
“My data pipeline logs show received_rows counts that seem weirdly high on some days. Can you take my 80 batch records and flag any statistical outliers in received_rows using IQR, and also check if any row IDs are repeated?”
Data quality check before reporting
“Before I generate my weekly ingestion summary report, I need to verify data quality — can you run a duplicate key check and IQR outlier detection on my accepted_rows for these 45 ingestion batch records across dataset groups A and B?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-065?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need simultaneous duplicate key detection and IQR outlier flagging on data ingestion batch records (received_rows/accepted_rows) in a single low-cost call. It is ideal for ETL data quality checks, pre-load validation, and pipeline audits where you want both uniqueness and statistical anomaly reports without external dependencies or live data lookups.
Side effects
- Fewer than 1 row submitted — minimum 1 row required
- More than 200 rows submitted — batch size limit exceeded
- Invalid date format (must match YYYY-MM-DD pattern)
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows)
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Invalid field enum value — must be 'received_rows' or 'accepted_rows'
- Payment not included or insufficient (requires 0.01 USDC via x402)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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