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Company Headcount Observations — Record Quality Audit + String Normalisation + Two-Measure Correlation
x402
Company Headcount Observations — Record Quality Audit + String Normalisation + 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).
Audits data quality, normalises strings, and computes correlation between headcount and open_roles for up to 200 company headcount observation records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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: (1) a record quality audit flagging issues such as missing values, out-of-range numbers, or malformed dates; (2) a string normalisation report showing standardised versions of company_group labels; (3) a two-measure correlation report quantifying the statistical relationship between headcount and open_roles across the supplied rows.
Example use cases
HR data quality check before reporting
“I've got a dataset of 80 company headcount observations — each row has a company group, a date, a headcount number, and open roles count. Can you audit it for record quality issues, normalise the company group strings, and check if headcount and open roles are correlated?”
Validating workforce data before dashboard import
“Before I import these 150 rows of headcount and open_roles records into our dashboard, can you run a quality audit, fix any inconsistent company group names, and give me the correlation between headcount and open positions?”
Spotting data anomalies in talent tracking data
“We track headcount and open roles by company group every week — here are 120 observation rows. Can you flag any record quality problems, normalise the group labels, and report how strongly headcount and open roles move together?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of company headcount observations (up to 200 rows) and need all three of: data quality auditing, string normalisation of company group labels, and a statistical correlation between headcount and open_roles — delivered as three bundled reports in a single low-cost call. It is a pure local analytical service with no external lookups or predictions, making it suitable for sensitive internal HR data.
Side effects
- Fewer than 1 or more than 200 rows supplied — validation error
- Malformed date strings not matching YYYY-MM-DD pattern — schema rejection
- Missing required fields (row_id, company_group, date, headcount, open_roles) — validation error
- Non-numeric values in headcount or open_roles where numbers expected — schema rejection
- Payment not processed — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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