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Contact Record Quality: Two-Measure Correlation + Keyed Dataset Comparison
x402
Contact Record Quality: Two-Measure Correlation + Keyed Dataset Comparison 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).
Analyzes contact record quality data by computing correlation between checked_records and duplicate_records, and comparing two keyed datasets row-by-row, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Contact record quality — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison 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 two-measure correlation report showing the statistical relationship between checked_records and duplicate_records across all supplied rows; (2) a keyed dataset comparison report aligning rows from the primary and secondary datasets by row_id to highlight differences in checked_records and duplicate_records values. No external lookups or predictions are made; all analysis is computed locally from the supplied data.
Example use cases
CRM deduplication effectiveness audit
“Here are two sets of contact record quality logs from our CRM — each with row_id, company_group, date, checked_records, and duplicate_records — can you correlate the duplicate rate against records checked, and also compare the two datasets by key to see which groups got better or worse?”
Multi-team contact quality benchmarking
“I have contact record quality snapshots from two different company groups, each with up to 200 rows including checked_records and duplicate_records by date. Run a correlation between those two measures and a side-by-side keyed comparison so I can benchmark which group has the cleaner data.”
Monthly duplicate trend comparison
“Can you take my two monthly contact quality exports — rows with row_id, company_group, date, checked_records, and duplicate_records — and give me both a correlation report between checked and duplicate counts and a keyed dataset comparison to spot where last month's numbers differ from this month's?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-03-183?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two sets of contact record quality data (with checked_records and duplicate_records fields) and need both a statistical correlation between those two measures AND a keyed row-by-row comparison between the two datasets in a single $0.01 call. It is ideal for offline, batch-style quality audits where no live data lookup, external enrichment, or prediction is needed — just local analytical computation on your supplied data of up to 200 rows.
Side effects
- Empty or missing rows array returns an error or empty report
- Rows exceeding 200-item limit are rejected
- Malformed date strings not matching YYYY-MM-DD pattern cause validation failure
- Missing required fields (row_id, company_group, date, checked_records, duplicate_records) cause row-level rejection
- Null values in numeric fields may reduce correlation validity
- Mismatched row_ids between primary and comparison datasets reduce keyed comparison coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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