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Business Directory Coverage — Two-Measure Correlation + Explicit Missing-Value Fill
x402
Business Directory Coverage — Two-Measure Correlation + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Computes correlation between listed_entities and verified_entities, and fills missing values in business directory coverage rows using a chosen strategy (zero, mean, or median), producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied business directory coverage records (listed_entities, verified_entities). 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) a correlation result quantifying the relationship between listed_entities and verified_entities across the supplied rows, and (2) a missing-value-filled version of the dataset with nulls replaced according to the chosen method (zero, mean, or median) for the specified field — all computed locally without external lookups.
Example use cases
Directory data null imputation before reporting
“I have business directory records with some null values in the verified_entities column — can you fill those missing values using median imputation and also run the correlation report between listed_entities and verified_entities across all my company groups?”
Checking listing-to-verification relationship
“I want to know how strongly correlated listed_entities and verified_entities are across my business directory data for the past quarter — please run the correlation analysis on these rows and use zero fill for any missing listed_entities values.”
Pre-pipeline data cleanup for directory coverage
“Before I load my directory coverage records into our dashboard, can you impute any missing listed_entities values using the mean strategy and give me the two-measure correlation report so I can flag data quality issues by company group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously assess the statistical relationship between listed and verified entity counts AND clean missing values in a business directory coverage dataset in a single API call. It is ideal for data pipeline pre-processing steps where both imputation and correlation diagnostics are required together, without needing live data lookups or external enrichment. Prefer it over general-purpose analytics tools when your data fits within 200 rows and you want a low-cost, deterministic, locally-computed result.
Side effects
- Input exceeds 200 rows — request rejected
- Missing required fields (row_id, date, listed_entities, verified_entities) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema error
- Invalid method enum value (must be zero, mean, or median) — rejected
- Invalid field enum (must be listed_entities or verified_entities) — rejected
- All values in target field are null — imputation may return unchanged or zero-filled result
- Insufficient non-null pairs for correlation — may return NaN or undefined correlation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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