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Company Headcount Observations — Exact Row Deduplication + Two-Measure Correlation
x402
Company Headcount Observations — Exact Row Deduplication + 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 2026-10-19).
Deduplicates company headcount observation rows and computes a correlation analysis between headcount and open_roles for up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Exact row deduplication + Two-measure correlation: Exact row deduplication + 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 analytical reports: (1) an exact row deduplication report identifying and removing duplicate records from the supplied headcount observations, and (2) a two-measure correlation report quantifying the statistical relationship between headcount and open_roles across the provided rows — all computed locally on the supplied data with no external lookups.
Example use cases
HR data deduplication before reporting
“I have 120 rows of company headcount observations with columns for date, company_group, headcount, and open_roles — can you remove any exact duplicate rows and tell me if headcount and open roles are correlated?”
Talent pipeline correlation check
“We're tracking headcount and open roles across 5 company groups over the past year. Can you deduplicate the dataset (about 180 rows) and compute the correlation between headcount and open_roles so I know if hiring demand tracks with team size?”
Workforce data quality audit
“Before I send this headcount dataset to leadership, can you check it for exact duplicate rows and also give me a correlation report between headcount and open_roles? There are around 90 observations across two company groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-050?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 company headcount observation records and need both exact duplicate row removal and a paired correlation analysis between headcount and open_roles in a single low-cost call. Ideal for data quality checks before reporting or pipeline handoffs where you need to confirm data integrity and measure the relationship between workforce size and open positions without any external data enrichment or live lookups.
Side effects
- Input exceeds 200 rows — request rejected or truncated
- Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes parse failure
- All rows are duplicates leaving insufficient data for correlation
- Null values in headcount or open_roles may reduce correlation sample size
- Fewer than 2 distinct rows after deduplication may make correlation undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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