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Company Headcount Observations — Record Quality Audit + Trailing Mean Series
x402
Company Headcount Observations — Record Quality Audit + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Runs a record quality audit and trailing mean series analysis on supplied company headcount and open_roles observation rows, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + Trailing mean series: Record quality audit + Trailing mean series 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 record quality audit identifying data issues, nulls, format problems, and anomalies in the supplied headcount/open_roles rows; and (2) a trailing mean series for the chosen field (headcount or open_roles) computed over the specified window size, organized by company_group and date.
Example use cases
Headcount data quality review
“I have 120 rows of monthly headcount observations for three company groups — can you audit the record quality and flag any issues with the data, and also give me a trailing mean series with a window of 6 for the headcount field?”
Open roles trend smoothing
“Can you compute a trailing mean series with window size 3 for the open_roles field across my 80 company headcount records? I want to smooth out the noise and also get a quality audit on the records at the same time.”
Pre-report workforce data validation
“Before I put together our quarterly workforce report, can you run a quality audit and a trailing mean analysis with a window of 5 on these 200 headcount and open_roles rows grouped by business unit — I want to catch any bad records and get the smoothed headcount trend?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-010?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of company headcount or open_roles time series data and need both a data quality audit and a rolling/trailing mean smoothing in a single low-cost call. It is ideal for preprocessing workforce data before reporting, detecting record issues, and computing smoothed staffing trends without needing external data sources or live lookups.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, headcount, or open_roles) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers validation failure
- Window size larger than the number of rows in a group produces sparse or empty trailing mean output
- All null values for the selected field result in an empty trailing mean series
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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