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File Ingestion IQR Outlier Flags
x402
File Ingestion 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 2026-10-20).
Computes IQR-based outlier flags on file ingestion metrics (loaded_bytes or parse_errors) for up to 200 typed records
Price / call$0.01
Success—
StatusUnknown
How this service works
File ingestion - IQR outlier flags: IQR outlier flags for File ingestion. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded iqr outlier flags report.
Output
A bounded IQR outlier flags report identifying which of the submitted file ingestion records have statistically anomalous values for the chosen field (loaded_bytes or parse_errors), based on interquartile range analysis. No enrichment or forecasting is included — purely local descriptive analytics.
Example use cases
ETL pipeline anomaly detection
“I have daily file ingestion logs from two sources and I want to know which rows have abnormally high or low loaded_bytes — run IQR outlier flagging on these 10 records and tell me which ones are outliers.”
Parse error spike identification
“Can you check my ingestion records for the past week and flag any rows where parse_errors look like statistical outliers using the IQR method? I want to know which jobs are behaving abnormally.”
Data quality audit on ingestion metrics
“We're auditing our file ingestion pipeline and need to flag outlier rows in loaded_bytes across about 50 records from multiple sources — can you run IQR outlier detection and give me the flagged rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-file-ingestion-outliers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local IQR-based outlier detection specifically on file ingestion metrics (loaded_bytes or parse_errors) without requiring external data enrichment or forecasting. It is ideal for data engineers auditing ETL pipelines, spotting anomalous ingestion jobs, or performing lightweight descriptive analytics on up to 200 records at a very low cost ($0.01 USDC per call).
Side effects
- Empty rows array or missing required fields (row_id, source, date, loaded_bytes, parse_errors) returns a validation error
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Non-numeric values for loaded_bytes or parse_errors where numbers are expected may be rejected
- Payment failure via x402 protocol prevents endpoint access
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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