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Company Headcount Observations — Record Quality Audit, String Normalisation & Date-by-Category Pivot
x402
Company Headcount Observations — Record Quality Audit, String Normalisation & 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 2026-10-15).
Runs three local analytical reports on supplied company headcount data rows: a record quality audit, string normalisation, and a date-by-category pivot — no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot 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
Three independent analytical reports based solely on the supplied rows: (1) a record quality audit flagging malformed, missing, or out-of-range values; (2) string normalisation suggestions for the company_group field; and (3) a date-by-category pivot table for the selected numeric field (headcount or open_roles). No external data is fetched.
Example use cases
Headcount data quality check before reporting
“I need to audit my company headcount observations for data quality issues — can you check these 150 rows for bad records, normalise the company group strings, and give me a pivot of headcount by date and category?”
Cleaning workforce data for BI dashboard
“Before I load this headcount dataset into our BI tool, can you run string normalisation and a record quality audit on the rows I'm supplying, pivoting by date and company group for the headcount field?”
Open roles trend analysis by business unit
“Can you take these company headcount records and produce a date-by-category pivot on the open_roles field, alongside a quality audit and string normalisation of the company_group column?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-206?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of company headcount observations and need a bundled set of three analytical reports — quality audit, string normalisation, and date pivot — in a single low-cost call ($0.01 USDC). It is purely local and analytical with no external lookups, making it safe for sensitive internal workforce data. Prefer it over general-purpose data tools when you specifically need the combination of quality auditing, string cleaning, and date-category pivoting on headcount or open_roles metrics in one pass.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — row-level validation error
- Missing required fields (row_id, company_group, date, headcount, open_roles) — schema validation failure
- field enum value not 'headcount' or 'open_roles' — rejected
- Numeric values outside allowed range — flagged or rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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