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Company Headcount Observations — Record Quality Audit + String Normalisation + Trailing Mean Series
x402
Company Headcount Observations — Record Quality Audit + String Normalisation + 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 2026-10-19).
Runs three analytical reports on company headcount observation records: a record quality audit, string normalisation, and a trailing mean time series for a chosen field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied company headcount observations records (headcount, open_roles). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging issues such as missing values, out-of-range numbers, or malformed dates; (2) a string normalisation report standardising the company_group field; and (3) a trailing mean time series for the selected field (headcount or open_roles) computed over the specified rolling window.
Example use cases
HR data quality check before reporting
“I have a batch of up to 150 company headcount observation rows with row_id, company_group, date, headcount, and open_roles — can you audit them for record quality issues, normalise the company_group strings, and give me a trailing mean series on the headcount field with a window of 4?”
Rolling average of open roles by company
“Please compute the trailing mean for open_roles with a window of 5 across these 80 headcount observation records, and also flag any quality issues and normalise the company group names while you're at it.”
Workforce trend analysis for investor deck
“I need three reports on this dataset of 200 company headcount entries: a record quality audit, string normalisation of the company_group column, and a rolling mean series on headcount using a window of 10 — can you run all three?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-199?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous data quality and analytical reports on company headcount observation records in a single call for $0.01 USDC — specifically record quality auditing, string normalisation, and a trailing rolling mean series. Ideal when you have up to 200 rows of workforce time series data and want to clean, audit, and trend-analyse in one batch without making separate API calls for each report.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes parse failure
- Window size larger than number of rows produces no trailing mean values
- Payment not included or insufficient USDC causes 402 rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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