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Company Headcount Observations — Record Quality Audit + String Normalisation + Daily Sum Series
x402
Company Headcount Observations — Record Quality Audit + String Normalisation + 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 local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 company headcount/open_roles observation rows
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + 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
Three structured analytical reports returned together: (1) a record quality audit flagging missing values, type errors, and format violations per row; (2) a string normalisation report showing standardised versions of company_group strings; (3) a daily sum series aggregating the chosen field (headcount or open_roles) by date across all rows. All computed locally with no external lookups.
Example use cases
Headcount data quality pre-flight check
“Before I load this workforce dataset into our BI tool, can you audit the record quality, normalise the company_group strings, and give me a daily sum series for headcount? I have 120 rows covering Q3.”
Open roles daily aggregation for recruiting dashboard
“I need the daily sum series for open_roles across all my company groups — can you also run the record quality audit and string normalisation at the same time? Here are 80 rows of observation data.”
Clean and summarise headcount before board report
“We're preparing a board report and need our headcount observation data cleaned up: please run string normalisation on company_group names, flag any record quality issues, and produce the daily headcount totals. We have 45 rows to process.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-198?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three analytics — record quality audit, string normalisation, and daily sum series — run together on company headcount or open_roles data in a single cost-efficient call ($0.01 USDC for all three reports). Prefer it over single-report siblings when you want bundled insight without chaining multiple API calls. Best for datasets up to 200 rows where offline/local computation is sufficient and no live data lookup or prediction is needed.
Side effects
- Rows array empty or missing — returns validation error
- More than 200 rows submitted — exceeds limit, request rejected
- date field not matching YYYY-MM-DD pattern — row-level validation failure
- headcount or open_roles outside allowed numeric range — schema rejection
- Invalid field enum value (not 'headcount' or 'open_roles') — request error
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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