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Company Headcount Observations — Record Quality Audit + Numeric Interval Filter
x402
Company Headcount Observations — Record Quality Audit + Numeric Interval Filter 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 up to 200 company headcount observation records for data quality issues and filters rows by a numeric interval on headcount or open_roles fields, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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 independent reports: (1) a record quality audit identifying issues such as missing values, malformed dates, or constraint violations across all submitted rows; and (2) a numeric interval filter report listing which rows have the selected field (headcount or open_roles) within the specified minimum–maximum range. Both reports cover up to 200 rows and are produced using local analytical engines with no external lookups.
Example use cases
Pre-pipeline workforce data validation
“I have 80 headcount observation records across several company groups and I need to check them for record quality problems and also filter out any rows where open_roles is outside 0 to 50 before I load them into our analytics pipeline.”
Identifying implausible headcount entries
“Can you run a quality audit on these 200 company headcount rows and flag any where the headcount value is outside the range 5 to 100000? I want to catch obvious data entry errors before our quarterly report.”
Spotting anomalies in open roles data
“We just exported our open roles observations for Q4 — can you audit the data quality and also filter for rows where open_roles is between 1 and 200 so I can see which records are in a sensible range?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-008?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a numeric range filter on company headcount or open_roles data in a single call, without needing live data lookups, predictions, or external integrations. It is ideal for pre-pipeline data validation, QA checks on HR exports, or identifying out-of-range workforce metrics across up to 200 records at very low cost ($0.01 USDC for both reports).
Side effects
- Submitting more than 200 rows returns an error or truncates input
- Missing required row fields (row_id, company_group, date, headcount, open_roles) causes validation rejection
- Dates not matching YYYY-MM-DD pattern are flagged or rejected
- minimum greater than maximum may produce an empty filter result or error
- Non-numeric values in headcount or open_roles fields may cause processing errors
- Empty rows array rejected due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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