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Company Headcount Observations — Quality Audit, Deduplication & Daily Sum Series
x402
Company Headcount Observations — Quality Audit, Deduplication & Daily Sum 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 data: a record quality audit, exact row deduplication, and a daily sum time series — all on up to 200 supplied rows without any external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum 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 reports: (1) a record quality audit flagging issues like nulls, out-of-range values, and malformed dates across the headcount and open_roles fields; (2) an exact row deduplication report identifying and removing duplicate entries by all key fields; and (3) a daily sum time series aggregating the selected field (headcount or open_roles) across all company groups by date — all computed locally on the supplied rows.
Example use cases
HR data quality check before reporting
“I have 150 rows of headcount observations across three company groups spanning Q1 2024 — can you run a record quality audit on them and flag any missing or malformed values in the headcount and open_roles fields?”
Deduplicating staffing tracker exports
“Our staffing tracker exported some duplicate rows mixed in with our headcount data. Can you deduplicate these 80 rows exactly and tell me which ones were removed, grouped by company_group?”
Daily open roles time series for workforce planning
“I need a daily sum series for open_roles across all our company groups for the past month. Here are the raw observation rows — can you aggregate them by day and give me the totals?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-215?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 company headcount or open-roles observation rows and need three combined analytical outputs — quality audit, deduplication, and daily aggregation — in a single low-cost call ($0.01 USDC). It is ideal for pre-processing HR or workforce data before downstream analysis, when no live lookup or external enrichment is needed and all computation is self-contained on your supplied data.
Side effects
- Input exceeds 200 rows — request rejected with row limit error
- Missing required fields (row_id, company_group, date, headcount, open_roles) on any row — validation error returned
- Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure
- Empty rows array — minItems constraint violation
- Invalid field enum value (not 'headcount' or 'open_roles') — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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