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Data Ingestion Batches — Numeric Distribution + IQR Outlier Flags
x402
Data Ingestion Batches — Numeric Distribution + 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 2026-10-18).
Computes numeric distribution statistics and IQR-based outlier flags for received_rows and accepted_rows fields across up to 200 data ingestion batch records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Numeric distribution + IQR outlier flags: Numeric distribution + 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 (one per numeric field): descriptive distribution statistics (min, max, mean, median, quartiles, spread) and IQR-based outlier flags identifying which row_ids fall outside expected bounds, computed locally without any external lookup or prediction.
Example use cases
ETL pipeline batch quality audit
“I have 50 daily ingestion batch records for my data warehouse pipeline with columns row_id, dataset_group, date, received_rows, and accepted_rows — can you run a numeric distribution and IQR outlier analysis on the accepted_rows field to see which batches are anomalous?”
Data ingestion monitoring dashboard
“Flag any outlier days in my received_rows data for the last 30 ingestion batches across two dataset groups — I want to know the distribution stats and which specific row_ids fall outside the IQR bounds.”
Batch acceptance rate anomaly detection
“I want to check the numeric distribution and detect IQR outliers in the accepted_rows values from these 80 ingestion batch records — dataset_group is 'events-stream', dates are throughout Q1 2024, and I need to know which batches look statistically unusual.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-080?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local IQR-based outlier detection and distribution summaries specifically for data ingestion batch metrics (received_rows and accepted_rows) across up to 200 records, without needing external lookups, ML predictions, or professional assessments. Ideal for data engineers monitoring ETL pipeline health or auditing batch ingestion quality at low cost ($0.01 per call covering both field reports).
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds batch limit
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Invalid field enum value (not 'received_rows' or 'accepted_rows') — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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