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Numeric Precision Comparisons — Record Quality Audit + IQR Outlier Flags
x402
Numeric Precision Comparisons — Record Quality Audit + 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).
Runs two local analytical reports on up to 200 rows of numeric source/transformed value pairs: a record quality audit and IQR-based outlier flagging.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Record quality audit + IQR outlier flags: Record quality audit + 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
Returns two independent analytical reports: (1) a record quality audit identifying data issues such as nulls, format problems, or inconsistencies across the supplied rows, and (2) IQR-based outlier flags marking which rows contain statistically extreme values in the selected numeric field. All analysis is performed locally with no external lookups.
Example use cases
ETL pipeline numeric validation
“I just ran my nightly ETL job and want to check whether any of the transformed values look statistically suspicious compared to the source values — can you run a quality audit and IQR outlier flag on these 120 rows from the 'sales_totals' group for October?”
Data migration integrity check
“We migrated a batch of financial records and I need to verify the transformed values didn't drift — please audit these 80 source_value/transformed_value pairs from group 'accounts_payable' dated 2025-01-15 and flag any IQR outliers in source_value.”
Anomaly detection before dashboard publish
“Before I publish this week's KPI dashboard, can you do a quick quality audit and outlier scan on these 35 rows of metric readings — group 'kpi_weekly', dates ranging 2025-03-01 to 2025-03-07 — and tell me which rows look like data quality problems?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-014?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, offline statistical quality audit of numeric source-to-transformed value pairs without any external data access or predictions. Ideal for ETL validation, data migration checks, and pre-publish anomaly detection on batches of up to 200 rows. The fixed $0.01 USDC price covers two full reports (quality audit + IQR outlier flags) simultaneously, making it cost-efficient compared to calling separate auditing and outlier-detection services.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) in any row
- Date field does not match YYYY-MM-DD pattern — validation error
- Numeric values outside ±1,000,000,000,000 range — schema violation
- Empty rows array submitted — minItems constraint violated
- Payment not included or insufficient — x402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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