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Contact Record Quality — String Normalisation + Two-Measure Correlation
x402
Contact Record Quality — String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Normalises strings and computes two-measure correlation analysis for contact record quality data (checked_records, duplicate_records) across up to 200 rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Contact record quality — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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 independent analytical reports: (1) a string normalisation report cleaning and standardising the text fields in the supplied rows, and (2) a two-measure correlation report quantifying the relationship between checked_records and duplicate_records across the submitted rows, covering up to 200 input rows with no external lookups or live data.
Example use cases
Monthly duplicate rate audit across divisions
“I have contact record quality data for two company groups across last month — each row has a date, group name, how many records we checked, and how many were duplicates. Can you normalise the strings and run a correlation analysis between checked and duplicate counts to see if there's a pattern?”
Pre-campaign data quality check
“Before we kick off our outreach campaign, I need to audit the quality of our contact records. I've got 150 rows with checked_records and duplicate_records by company group and date — can you normalise the data and give me two correlation reports?”
CRM deduplication trend analysis
“We've been logging how many contact records we check and how many turn out to be duplicates each day for groups alpha and beta over the past few weeks. Can you run string normalisation and a two-measure correlation on that data so we can spot any troubling trends?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-03-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, deterministic string normalisation combined with a two-measure correlation analysis specifically for contact record quality data (checked_records vs duplicate_records) in batch up to 200 rows, with no need for live lookups, external enrichment, or ML-based predictions. It is cost-effective at $0.01 USDC for two bundled reports and is ideal for periodic data quality audits on CRM or contact databases.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, company_group, checked_records, duplicate_records) causes row rejection
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Payment failure (insufficient USDC balance) blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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