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Company Headcount Observations — Record Quality Audit, Deduplication & Numeric Distribution
x402
Company Headcount Observations — Record Quality Audit, Deduplication & Numeric Distribution 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 analytical reports (record quality audit, exact row deduplication, and numeric distribution) on up to 200 company headcount observation records without any external data lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution 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 on the submitted headcount records: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) an exact row deduplication report identifying fully identical rows; and (3) a numeric distribution summary for the selected field (headcount or open_roles), all computed locally without any external lookups.
Example use cases
Pre-analysis headcount data quality check
“I have 150 company headcount records with fields for row_id, company_group, date, headcount, and open_roles. Before I run any analysis, can you audit them for record quality issues, flag any exact duplicate rows, and show me the numeric distribution of the headcount field?”
Deduplication before HR dashboard refresh
“We're refreshing our HR dashboard and I suspect there are duplicate headcount observations in our dataset. Can you run the deduplication and quality audit reports on these 200 rows — each has a row_id, company_group, date, headcount, and open_roles — so we can clean it up first?”
Workforce open roles distribution profiling
“Can you profile the numeric distribution of open_roles across these company headcount observations — about 80 rows with row_id, company_group, date, headcount, and open_roles — and also flag any data quality or duplication issues while you're at it?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-210?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, affordable ($0.01 USDC), all-in-one data quality pass on company headcount observation data — specifically when you want record quality auditing, duplicate detection, and numeric distribution profiling bundled together in a single call without hitting any external data sources or live systems. Best for pre-analysis data hygiene, ETL validation, or HR reporting pipelines with up to 200 rows.
Side effects
- Submitting more than 200 rows returns an error or truncated results
- Missing required fields (row_id, company_group, date, headcount, open_roles) in any row causes validation failure
- Invalid date format (non-YYYY-MM-DD) triggers schema rejection
- Numeric values outside the allowed range cause field-level errors
- Passing an invalid field enum value (anything other than 'headcount' or 'open_roles') causes a field selection error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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