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Duplicate Observations Record Quality Audit + Two-Measure Correlation
x402
Duplicate Observations Record Quality Audit + 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 2026-10-18).
Analyzes up to 200 duplicate observation records to produce a record quality audit and a two-measure correlation report between duplicate_rows and total_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation for supplied duplicate observations records (duplicate_rows, total_rows). 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 record quality audit assessing the quality of the supplied duplicate observation records, and (2) a two-measure correlation analysis between the duplicate_rows and total_rows fields across all submitted rows. Reports are generated locally with no external lookups or live data access.
Example use cases
ETL pipeline data quality check
“I just ran an ETL pipeline and want to audit data quality — can you analyze these duplicate observation records for quality issues and correlation between duplicate_rows and total_rows? I have 5 rows: row-1 for warehouse-a on 2024-01-10 with 50 duplicates out of 500 total, row-2 for warehouse-b on 2024-01-11 with 80 duplicates out of 600 total, row-3 for warehouse-a on 2024-01-12 with 30 duplicates out of 450 total, row-4 for warehouse-b on 2024-01-13 with 95 duplicates out of 700 total, row-5 for warehouse-a on 2024-01-14 with 20 duplicates out of 400 total.”
Weekly dataset group duplicate review
“Run a duplicate observation audit and correlation report on my weekly dataset groups — here are 3 rows: row-1 for sales-region-east on 2024-03-04 with 12 duplicate rows out of 300 total, row-2 for sales-region-west on 2024-03-04 with 22 duplicates out of 450 total, row-3 for sales-region-north on 2024-03-04 with 5 duplicates out of 200 total.”
Data migration duplicate rate validation
“After our data migration, I need to validate duplicate record counts across groups — can you produce a quality audit and measure correlation between duplicate rows and total rows for these 6 entries: row-1 for legacy-crm on 2023-11-01 with 100 duplicates of 1000 total, row-2 for new-crm on 2023-11-01 with 5 duplicates of 1000 total, row-3 for legacy-crm on 2023-11-02 with 90 duplicates of 980 total, row-4 for new-crm on 2023-11-02 with 3 duplicates of 980 total, row-5 for legacy-crm on 2023-11-03 with 110 duplicates of 1020 total, row-6 for new-crm on 2023-11-03 with 7 duplicates of 1020 total?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-015?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01 USDC) dual-report analysis — both a record quality audit and a statistical correlation between duplicate row counts and total row counts — on a batch of up to 200 supplied observation records, without needing any external data lookup, live prediction, or professional assessment.
Side effects
- Exceeding 200 row limit results in rejection
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in numeric fields may affect correlation computation
- Payment failure via x402 protocol prevents report generation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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