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Contact Record Quality — String Normalisation + IQR Outlier Flags
x402
Contact Record Quality — String Normalisation + 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).
Normalises string fields and flags IQR-based outliers in contact record quality data (checked_records, duplicate_records) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Contact record quality — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags for supplied contact record quality records (checked_records, duplicate_records). 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 independent analytical reports per call: one covering string normalisation of contact record fields (company_group, date, row_id) and one covering IQR-based outlier flags for the selected numeric measure (checked_records or duplicate_records), applied across up to 200 input rows. Reports are computed locally with no external lookups.
Example use cases
CRM audit outlier detection
“I have a week's worth of contact record data for three company groups with daily checked_records and duplicate_records counts — can you flag any IQR outliers and normalise the strings so I can see which days had suspicious duplicate volumes?”
Data quality report for compliance review
“Run string normalisation and IQR outlier flagging on these 50 rows of contact quality metrics for our compliance team — I need to know if any checked_records or duplicate_records values are statistical outliers across our company groups.”
Monthly deduplication trend sanity check
“We exported 120 rows of monthly contact record quality data with duplicate_records counts by company group — can you normalise the strings and flag IQR-based outliers so we can spot anything that looks wrong before we present the report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-03-032?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local statistical analysis of contact record quality data — specifically IQR-based outlier detection combined with string normalisation — without requiring any live data lookup, external enrichment, or professional assessment. Ideal for batch audit workflows on up to 200 rows of CRM or contact database export data where cost and latency must be minimal ($0.01 per call).
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, checked_records, duplicate_records) — row rejected or error returned
- Invalid date format (not YYYY-MM-DD) — validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Empty rows array — minimum 1 item required
- Invalid field enum value — must be checked_records or duplicate_records
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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