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Company Headcount Observations — Record Quality Audit, String Normalisation & Secondary-Measure Weighted Mean
x402
Company Headcount Observations — Record Quality Audit, String Normalisation & Secondary-Measure Weighted Mean 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).
Runs three analytical reports on up to 200 company headcount/open-roles records: record quality audit, string normalisation, and secondary-measure weighted mean computation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean 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 bundled reports for the submitted rows (up to 200): (1) a record quality audit highlighting malformed, missing, or suspicious entries; (2) string-normalised versions of company_group and other text fields; (3) a secondary-measure weighted mean of the selected field (headcount or open_roles) computed locally without any external lookups.
Example use cases
HR data quality check before reporting
“I need to audit this batch of headcount observations before our quarterly report — can you run a quality check on my 80 rows of headcount and open_roles data to flag any bad records and normalise the company group names?”
Weighted average headcount for workforce planning
“Can you compute a weighted mean for headcount across these company groups using open_roles as the secondary measure? I've got about 120 rows of data from Q4 2026.”
Cleaning messy workforce dataset strings
“My company headcount dataset has inconsistent group name formatting — can you run string normalisation across the company_group field for these 60 rows and also audit the records for quality issues?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three specific analytical operations — quality audit, string normalisation, and weighted mean — applied together to a batch of company headcount records in a single call. It is best suited for offline/batch data cleaning and summarisation workflows where no external lookups or predictions are needed, and when cost efficiency (three reports for $0.01 USDC) matters.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, headcount, open_roles) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers validation failure
- Numeric values outside allowed range cause schema rejection
- Payment not provided or insufficient USDC triggers 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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