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Company Headcount Observations — Category Frequencies + Explicit Missing-Value Fill
x402
Company Headcount 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 2026-10-19).
Analyzes up to 200 company headcount observation rows to produce category frequency distributions and fill missing values in headcount or open_roles fields using zero, mean, or median imputation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill for supplied company headcount observations records (headcount, open_roles). 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 in the dataset, and (2) a missing-value fill report for the specified field (headcount or open_roles) where nulls are replaced using the chosen method (zero, mean, or median). Results are computed locally without external lookups.
Example use cases
Headcount data quality audit
“I have 120 rows of company headcount observations across groups like 'engineering', 'sales', and 'ops' with some nulls in the headcount column — can you show me how often each group appears and fill the missing headcount values using median?”
Open roles gap filling for reporting
“My workforce dataset has missing open_roles values for some dates. Can you compute the category frequencies for my company groups and fill those gaps using mean imputation so I have a clean dataset for my report?”
Zero-fill missing headcount before pipeline
“Before I run my analytics pipeline, I need to handle nulls in the headcount field across 80 rows of observations for group-a and group-b. Fill the missing values with zero and also give me the frequency breakdown by company group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-112?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a category frequency summary and missing-value imputation for company headcount data in a single low-cost call. It is ideal for data cleaning pipelines where you want to understand group distributions and fill nulls in headcount or open_roles before downstream analysis. Prefer it over generic analytics tools when your data fits the headcount/open_roles schema and you want deterministic, locally-computed results without external data dependencies.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Invalid method value outside zero/mean/median causes enum validation failure
- Invalid field value outside headcount/open_roles causes enum validation failure
- Empty rows array (minItems: 1 not met) returns error
- Payment of 0.01 USDC not provided or rejected blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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