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Company Headcount Observations — Numeric Row Ordering + Explicit Missing-Value Fill
x402
Company Headcount Observations — Numeric Row Ordering + 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).
Sorts company headcount observation rows numerically and fills missing values in headcount or open_roles fields using zero, mean, or median imputation — up to 200 rows, two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + 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 covering the submitted company headcount observation records (up to 200 rows), with rows numerically ordered by row_id and missing values in the specified field (headcount or open_roles) filled using the chosen method (zero, mean, or median). No external data is fetched or predicted.
Example use cases
Fill missing headcount for HR reporting
“I have monthly headcount snapshots for two company groups, group-a and group-b, but several rows have null headcount values — please sort them by row number and fill those gaps using the median so I can use the data in my report.”
Impute open roles with zero for budget model
“My workforce dataset has rows with missing open_roles values across several dates and company groups. Can you order the rows numerically and fill all the nulls with zero so I can feed it into our budget model?”
Clean headcount time series with mean fill
“I've got about 120 daily headcount observation records for our company, some with missing headcount numbers. Sort them and fill the blanks using mean imputation — I need two clean analytical reports back.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-124?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular company headcount or open_roles observations (up to 200 rows) that need numeric row ordering combined with explicit missing-value imputation (zero, mean, or median), and you want two structured analytical reports back without any live data lookup or external prediction. It is purpose-built for offline data cleaning of HR workforce metrics rather than general-purpose data transformation.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Row missing required fields (row_id, company_group, date, headcount, or open_roles schema keys)
- Invalid date format (must match YYYY-MM-DD pattern)
- Invalid enum value for field or method parameters
- Empty rows array (minItems: 1 violated)
- Payment not included or insufficient (requires 0.01 USDC via x402)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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