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Company Headcount Observations — Record Quality Audit + Two-Measure Correlation
x402
Company Headcount Observations — Record Quality Audit + Two-Measure Correlation 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).
Audits record quality and computes correlation between headcount and open_roles for up to 200 company headcount observation rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation 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 record quality audit covering issues such as missing values, out-of-range entries, and invalid formats across the supplied headcount rows; and (2) a correlation report quantifying the statistical relationship between the headcount and open_roles measures across the submitted data, all computed locally on the supplied rows without external lookups.
Example use cases
HR data quality check before reporting
“I have 150 rows of company headcount observations with date, headcount, and open_roles columns across multiple business groups. Can you audit the record quality and flag any bad or missing data before I use it in my quarterly report?”
Workforce trend correlation analysis
“I want to know if there's a meaningful correlation between total headcount and open roles in my company data — I have about 80 observations across groups like 'engineering' and 'sales' from the past year. Can you run that correlation analysis for me?”
Multi-group headcount data validation
“We've just merged data from two company groups and I need to validate record quality — check for nulls, anomalies, and see how headcount tracks with open roles. There are around 120 rows in total with row_id, company_group, date, headcount, and open_roles fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-015?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already collected company headcount observation data (headcount and open_roles per company group and date) and need both a data quality audit and a statistical correlation between the two numeric measures in a single low-cost call. It is ideal for HR analysts or data engineers doing pre-reporting validation or exploratory analysis on workforce datasets of up to 200 rows. It does not perform live data lookups, forecasting, or external enrichment.
Side effects
- Exceeds 200-row limit — request rejected or truncated
- Missing required fields (row_id, company_group, date, headcount, open_roles) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range — rejection
- Empty rows array — error response
- Malformed JSON body — 400 Bad Request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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