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Null Coverage Analytics: Exact Row Deduplication and Two-Measure Correlation
x402
Null Coverage Analytics: Exact Row Deduplication and 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 2026-10-10).
Deduplicates rows and computes correlation between missing_values and total_values for null coverage datasets, producing two analytical reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation for supplied null coverage records (missing_values, total_values). 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: (1) an exact row deduplication result showing unique records from the supplied rows, and (2) a correlation analysis between the missing_values and total_values measures across those rows. No external data sources, predictions, or live lookups are involved — all computation is performed on the supplied data locally.
Example use cases
Data quality audit for ETL pipeline
“I'm auditing our ETL pipeline's data quality — here are 120 rows with row_id, dataset_group, date, missing_values, and total_values. Can you deduplicate them exactly and then run a correlation analysis between missing_values and total_values and give me both reports?”
Null rate correlation across dataset groups
“I have two dataset groups — 'group-a' and 'group-b' — with 80 rows total tracking null rates over time. Can you remove any exact duplicate rows and tell me how strongly missing_values and total_values are correlated across those records?”
Monthly missing value trend deduplication
“Our data team collected daily null coverage stats for October with 40 rows like {row_id, date, dataset_group, missing_values, total_values}. Please deduplicate them and compute the two-measure correlation so we can see if higher total values relate to more missing entries.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-050?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined deduplication and two-measure correlation report on null coverage records (missing_values vs total_values) for up to 200 rows, without any need for external data enrichment, live lookup, or prediction. It is ideal for offline data quality assessments where a flat per-call fee covering both reports is cost-effective.
Side effects
- More than 200 rows submitted — exceeds the maxItems limit and will be rejected
- Missing required fields (row_id, date, missing_values, total_values) on any row will cause validation failure
- Date strings not matching YYYY-MM-DD pattern will fail schema validation
- Null or non-numeric values for missing_values or total_values may affect correlation computation
- Submitting fewer than 1 row will fail the minItems constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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