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Company Headcount Observations — Trailing Mean Series + Explicit Missing-Value Fill
x402
Company Headcount Observations — Trailing Mean Series + 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).
Computes a trailing mean time series and fills missing values in company headcount observation data (headcount, open_roles) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Trailing mean series + Explicit missing-value fill: Trailing mean series + 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 for the supplied rows: (1) a trailing mean series where each row's field value is replaced by the rolling mean over the specified window, and (2) the same dataset with explicit missing-value fill applied using the chosen method (zero, mean, or median). Results cover up to 200 rows of company headcount observations.
Example use cases
Smoothing noisy headcount trends
“I've got monthly headcount data for three company groups over the past year and it's pretty noisy — can you apply a trailing mean with a window of 6 to smooth the headcount field and fill any nulls using the mean?”
Preparing open roles data for forecasting
“Before I run my forecast, I need to clean up this time series of open_roles for our two business units — can you run a trailing mean with window 3 and fill missing values using zero?”
HR dashboard data quality smoothing
“Our HR dashboard is showing gaps and spikes in headcount data across regions — can you apply a 5-period trailing mean and fill missing headcount observations using median so the chart looks cleaner?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-154?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have company-level headcount or open_roles time series data that needs rolling-window smoothing and/or missing-value imputation in a single pass. It is particularly suited for pre-processing HR or workforce data before visualization or forecasting, and handles up to 200 rows per call at low cost ($0.01 USDC). Prefer this over general analytics tools when you need both trailing mean computation and explicit null-fill in one bundled operation without requiring external data sources.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, company_group, date) trigger validation errors
- Window size larger than number of rows may produce NaN/null results for early rows
- Non-numeric values in headcount or open_roles fields cause processing errors
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| window | integer |
Tags
x402
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