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Company Headcount Observations — Keyed Dataset Comparison + Explicit Missing-Value Fill
x402
Company Headcount Observations — Keyed Dataset Comparison + Explicit Missing-Value Fill 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).
Compares two sets of company headcount observation records by key and fills missing values (headcount or open_roles) across up to 200 rows, producing two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + Explicit missing-value fill 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 analytical reports: a keyed dataset comparison report showing differences between the two supplied datasets on the selected field (headcount or open_roles), and an explicit missing-value fill report showing which rows had null values and what they were filled with. No external data is fetched; all analysis is performed on the supplied rows only.
Example use cases
Reconciling two HR headcount exports
“We pulled headcount data from two different HR systems for the same set of companies and dates — can you compare the two datasets row by row and fill in any nulls in the headcount field? Each dataset has about 80 rows with row_id, company_group, date, headcount, and open_roles.”
Auditing open roles across reporting periods
“I have two snapshots of open_roles data for our portfolio companies — one from last quarter and one from this quarter — both with about 120 rows. Please compare them by row key and fill any missing open_roles values, and give me two reports showing what changed and what was filled in.”
Detecting missing headcount before board reporting
“Before I submit our board report, I need to check our headcount observations dataset against a reference dataset to find any discrepancies and fill missing headcount values. Both datasets have around 60 rows with the standard company_group, date, row_id, headcount, and open_roles fields — can you run the comparison and fill report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-190?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two structured company headcount or open_roles datasets that need to be compared row-by-row by key and have missing values filled in a single call. It is best for offline/batch analytical reconciliation of up to 200 rows of HR or workforce data without requiring live lookups, predictions, or external data enrichment. Prefer this over general-purpose data tools when you need both a keyed comparison and an explicit null-fill report delivered together at low cost.
Side effects
- More than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, headcount, open_roles) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field selector not one of 'headcount' or 'open_roles' — enum validation error
- Empty rows array — minimum items constraint violation
- Mismatched row_ids between primary and secondary datasets — comparison may produce incomplete results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| method | string |
Tags
x402
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