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Contact Record Quality — String Normalisation + Numeric Row Ordering
x402
Contact Record Quality — String Normalisation + Numeric Row Ordering 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 orders rows numerically for up to 200 contact record quality data rows, producing two independent reports on checked_records and duplicate_records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Contact record quality — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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: one performing string normalisation on the supplied contact record quality rows, and one providing numeric ordering of rows by the selected field (checked_records or duplicate_records). Covers up to 200 input rows grouped by company_group and date, with no external lookups or predictions.
Example use cases
Weekly duplicate audit by company group
“I've got a week's worth of contact record quality data across two company groups — can you normalise the strings and rank all 7 rows by duplicate_records so I can see which group has the most duplicates?”
Monthly checked-records trend ranking
“Here are 15 rows of contact quality data from last month across our different company groups, each with a date, checked_records count, and duplicate_records count — please normalise the strings and give me a numeric row ordering by checked_records so I can spot the outliers.”
CRM data hygiene report for two teams
“We're auditing our CRM quality for teams alpha and beta — I have 30 rows with dates, checked record counts, and duplicate counts. Can you run the string normalisation and numeric ordering reports on checked_records so I can see how they compare?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-03-025?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline string normalisation and numeric ordering for contact record quality data (checked_records, duplicate_records) without requiring any live data lookups, predictions, or external integrations. It is ideal for batch preprocessing up to 200 rows at very low cost ($0.01 USDC for two reports). Prefer it over heavier analytics pipelines when the goal is simply standardising and ranking contact quality metrics by company group and date.
Side effects
- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — maxItems exceeded, request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation error
- checked_records or duplicate_records value outside allowed numeric range
- Missing required field (row_id, company_group, date) — validation failure
- Invalid field enum value (not 'checked_records' or 'duplicate_records') — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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