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Contact Record Quality — String Normalisation + Date by Category Pivot
x402
Contact Record Quality — String Normalisation + Date by Category Pivot 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 contact record quality data: string normalisation and a date-by-category pivot for checked_records and duplicate_records metrics across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Contact record quality — String normalisation + Date by category pivot: String normalisation + Date by category pivot 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
Returns two analytical reports using local engines: (1) a string-normalised version of the contact record quality data, and (2) a date-by-category pivot table for the selected field (checked_records or duplicate_records) grouped by company_group and date — all computed offline with no external lookups.
Example use cases
CRM duplicate rate review by company
“I have a list of contact record quality snapshots from our CRM — each row has a company group, a date, and counts of checked and duplicate records. Can you normalize the string fields and give me a pivot showing duplicate_records broken out by company group and date?”
Weekly data quality audit report
“Run a string normalisation and date-by-category pivot on these 150 rows of contact quality data — I want to focus on the checked_records field and see how each company group trends over the week.”
Deduplication metric analysis for data team
“I need two reports on this contact quality dataset: normalize the text fields and produce a date-pivot of duplicate_records by category — here are the rows with row_id, company_group, date, checked_records, and duplicate_records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-03-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline analytical processing of contact record quality data — specifically string normalisation combined with a date-by-category pivot — for up to 200 rows. It is ideal when you want two bundled reports (normalisation + pivot) in a single low-cost call without any live data lookup, external enrichment, or prediction. Prefer alternatives if you need real-time CRM integration, more than 200 rows, or a different combination of analytical report types.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, company_group, date, checked_records, duplicate_records) — validation error
- Invalid date format (not YYYY-MM-DD) — schema pattern mismatch
- Invalid field enum value (must be 'checked_records' or 'duplicate_records') — rejected
- Numeric values outside allowed range (±1,000,000,000,000) — validation failure
- Empty rows array — minItems violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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