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Company Headcount Observations — Daily Sum Series + Date by Category Pivot
x402
Company Headcount Observations — Daily Sum Series + Date by Category Pivot 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).
Generates two analytical reports from supplied company headcount data: a daily sum time series and a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot 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 daily sum series showing total values of the selected field (headcount or open_roles) aggregated per date, and (2) a date-by-category pivot table cross-tabulating the selected field by date and company_group — both computed locally from the supplied rows, covering up to 200 input records.
Example use cases
Daily workforce trend by business unit
“I have four weeks of daily headcount snapshots for our three divisions — can you run a daily sum series and a date-by-category pivot on the headcount field so I can see how total employee counts evolved day by day across divisions?”
Recruiting pipeline cross-tab
“Here are 150 rows of daily open_roles observations for our APAC and EMEA groups through Q3 — can you produce a daily sum series plus a date-by-category pivot on open_roles so I can see how hiring demand shifted over time by region?”
Post-merger headcount reconciliation
“I've got combined headcount records for the acquired company and our legacy group from the past 90 days — run a daily total series and a category-date pivot on headcount so I can spot where the two organizations overlap or diverge by day?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-143?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected company headcount or open_roles observation records (up to 200 rows) and need both a daily aggregate time series and a category-date pivot in a single low-cost call ($0.01 USDC). It is ideal for offline/batch HR analytics where no live data lookup or prediction is needed, and when you want two complementary views of the same dataset without paying for two separate API calls.
Side effects
- Supplying more than 200 rows returns an error or truncation
- Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation failure
- Invalid date format (not YYYY-MM-DD) causes a parsing error
- Empty rows array rejected as minItems is 1
- Values outside ±1,000,000,000,000 may be rejected by schema validation
- Invalid field enum value (anything other than 'headcount' or 'open_roles') causes an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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