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Numeric Precision Comparisons — Interval Filter + IQR Outlier Flags
x402
Numeric Precision Comparisons — Interval Filter + 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 2026-10-15).
Applies a numeric interval filter and IQR-based outlier detection to user-supplied source_value/transformed_value pairs, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags for supplied numeric precision comparisons records (source_value, transformed_value). 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
Two analytical reports per call: (1) a numeric interval filter report listing which rows fall within or outside the specified [minimum, maximum] range for the chosen field, and (2) an IQR outlier flag report identifying which rows are statistical outliers based on interquartile range analysis — both computed locally on the supplied data, covering up to 200 input rows.
Example use cases
ETL pipeline transformation validation
“I just ran a data transformation on our sales figures and I want to check for outliers. Here are 120 rows with row_id, dataset_group, date, source_value, and transformed_value — please filter to values between 10 and 10000 and flag any IQR outliers in the transformed_value field.”
Sensor reading anomaly detection
“I've got 80 rows of sensor readings where source_value is the raw reading and transformed_value is the calibrated output. Can you filter for values between -50 and 200 and identify which readings are IQR outliers in the source_value column?”
Financial data precision audit
“We have 150 rows of financial records with original and rounded values. Please run an interval filter between 0 and 1000000 and flag any IQR outliers in source_value so we can catch precision issues before the report goes out.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-130?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both interval-range filtering and IQR outlier detection on numeric source/transformed value pairs in a single call, especially for ETL validation, data transformation auditing, or numeric precision checks on datasets up to 200 rows. It is a low-cost ($0.01 USDC), self-contained analytical service requiring no external data sources or live lookups, making it ideal for offline or batch data quality checks.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) cause validation errors
- Values outside ±1,000,000,000,000 are rejected by schema
- Invalid date format (not YYYY-MM-DD) causes rejection
- minimum greater than maximum produces undefined or empty interval filter results
- Payment of 0.01 USDC not provided or rejected blocks the call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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