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Company Headcount Observations — Duplicate Key Report + Category Frequencies
x402
Company Headcount Observations — Duplicate Key Report + Category Frequencies 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).
Analyzes up to 200 company headcount observation records to produce a duplicate key report and category frequency breakdown for headcount and open_roles fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies 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 independent analytical reports: (1) a duplicate key report identifying any row_ids that appear more than once in the submitted records, and (2) category frequency counts showing how often each company_group value appears across the submitted headcount observations. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Auditing headcount data for duplicate entries
“I've got a batch of company headcount records I exported from our HR system — can you run a duplicate key check on the row IDs and also tell me how often each company_group shows up? Here are the rows: row-1, group-a, 2026-10-01, headcount 500, 12 open roles; row-2, group-b, 2026-10-02, headcount 800, 20 open roles; row-3, group-a, 2026-10-03, headcount 510, 15 open roles; row-1, group-a, 2026-10-04, headcount 505, 11 open roles.”
Frequency analysis of company groups in headcount data
“I want to understand which company groups dominate my headcount observations dataset. Can you analyze these 5 records and give me the category frequency for company_group, plus flag any duplicate row IDs? The records span October 2026 with groups alpha, beta, and alpha again across row IDs R1 through R5.”
Data quality check before headcount reporting
“Before I submit our quarterly headcount report, can you run a duplicate key check and category frequency analysis on these 10 headcount observation rows? I need to make sure there are no repeated row_ids and I want to see how headcount and open_roles are distributed across our company groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-057?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to quickly audit a batch of company headcount observation records (up to 200 rows) for duplicate row identifiers and want a frequency breakdown of company_group categories — all from locally supplied data with no external data dependencies. It is ideal for data quality pre-checks before ingestion or reporting pipelines.
Side effects
- Exceeding 200 rows returns an error — batch must be split
- Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation failure
- Invalid date format (not YYYY-MM-DD) causes rejection
- Submitting zero rows returns a validation error
- Null numeric values for headcount or open_roles are accepted but may affect frequency results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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