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Business Directory Coverage — Grouped Numeric Summary + Explicit Missing-Value Fill
x402
Business Directory Coverage — Grouped Numeric Summary + 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 grouped numeric summaries and fills missing values for business directory coverage records (listed_entities, verified_entities) across up to 200 supplied rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business directory coverage — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + 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 grouped numeric summary (e.g. count, mean, min, max) of the specified field (listed_entities or verified_entities) broken down by company_group, and (2) the same dataset with missing values in the specified field explicitly filled using the chosen method (zero, mean, or median). All computed locally from the supplied rows with no external data fetched.
Example use cases
Directory coverage gap analysis by group
“I have business directory records for group-a and group-b across October with some missing listed_entities values — can you summarize the coverage stats by company group and fill those nulls using median?”
Verified entity count imputation
“My dataset has 150 rows of directory coverage data where verified_entities has several nulls — please run a grouped numeric summary and fill the missing verified_entities using zero fill so I can see the full picture by group.”
Multi-group directory audit report
“Can you take these business directory coverage rows across multiple company groups and dates, compute a grouped numeric summary for listed_entities, and also fill any missing listed_entities values using mean imputation? I need both reports for an audit.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-14-099?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected business directory coverage data (listed and verified entity counts) and need both grouped descriptive statistics by company group AND missing-value imputation in a single low-cost call ($0.01 USDC). Ideal for offline/batch analytical workflows on up to 200 rows where no live data lookup or external enrichment is needed.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, company_group, date, listed_entities, verified_entities) cause validation errors
- Invalid date format (not YYYY-MM-DD) results in schema rejection
- Invalid method value outside [zero, mean, median] causes error
- Invalid field value outside [listed_entities, verified_entities] causes error
- Empty rows array rejected due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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