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Customer Segment Observations: Category Frequencies + Explicit Missing-Value Fill
x402
Customer Segment Observations: Category Frequencies + 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 2026-10-20).
Computes category frequency distributions and fills missing values (via zero, mean, or median) for customer segment observation records containing account_count and revenue_amount fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Customer segment observations — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill for supplied customer segment observations records (account_count, revenue_amount). 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 category frequency table showing how often each company_group value appears across the submitted rows, and (2) a dataset with missing values in the specified numeric field (account_count or revenue_amount) explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally without external lookups.
Example use cases
Segment frequency audit for sales team
“I've got a list of customer segment records by company group with account counts and revenue amounts — can you tell me how often each company group appears (category frequencies) and fill any missing account_count values with the mean? Here are the rows: group-a, group-b, group-a, null for group-c.”
Data quality check before dashboard import
“Before I import this dataset into our dashboard, can you run the category frequency report on company_group and replace any null revenue_amount entries with zero across these 150 customer segment observation rows?”
Revenue imputation for quarterly reporting
“I need to prep our quarterly segment report — please analyze the frequency distribution of company groups and fill all missing revenue_amount values using the median imputation method for these customer segment records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-16-112?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of customer segment data and need both a category frequency breakdown and missing-value imputation in a single low-cost ($0.01 USDC) call. It is ideal for lightweight, local data quality and distribution analysis on account_count or revenue_amount fields without requiring an external ML service or database lookup. Prefer alternatives if you need predictions, live data enrichment, or more than 200 rows processed.
Side effects
- Input exceeds 200 rows — request will be rejected
- Missing required fields (row_id, company_group, date, account_count, or revenue_amount) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside [-1,000,000,000,000, 1,000,000,000,000] range are rejected
- Unsupported fill method enum value causes error
- Empty rows array returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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