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Company Headcount Observations — Record Quality Audit + Daily Sum Series
x402
Company Headcount Observations — Record Quality Audit + 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 2026-10-15).
Audits record quality and computes daily sum series for company headcount or open_roles observations across up to 200 rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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 data issues such as missing values, out-of-range numbers, or malformed records for each row; and (2) a daily sum series aggregating the selected field (headcount or open_roles) by date across all company groups.
Example use cases
HR data quality check before reporting
“I have 150 rows of headcount observations for our business units across Q3 — can you run a record quality audit and daily sum series on them so I can catch any bad records before I submit the board report? The field I care about is headcount.”
Daily open roles aggregation across subsidiaries
“We track open_roles daily across several company groups and I need to see the daily totals aggregated across all of them — can you run the daily sum series report on these 80 rows using the open_roles field?”
Validate workforce data pipeline output
“Our data pipeline is outputting headcount observations and I want to verify the records look clean — please run a record quality audit plus daily sum on this batch of 60 rows with headcount and open_roles so I can see if anything looks off.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a daily aggregated time series for company headcount or open_roles data in a single low-cost call. It is well suited for pre-reporting data validation, pipeline output checks, and quick workforce analytics on batches of up to 200 observation rows. Prefer it over generic analytics tools when your data is already structured with company_group, date, headcount, and open_roles fields.
Side effects
- Empty rows array or more than 200 rows returns a validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection or error
- Missing required fields (row_id, company_group, date, headcount, open_roles) causes schema validation failure
- Invalid field enum value (not 'headcount' or 'open_roles') returns an error
- Null or out-of-range numeric values may be flagged in the quality audit rather than causing failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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