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Company Headcount Observations — Record Quality Audit & Keyed Dataset Comparison
x402
Company Headcount Observations — Record Quality Audit & Keyed Dataset Comparison 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 two analytical reports on submitted company headcount data: a record quality audit and a keyed comparison between two datasets (primary vs. reference), covering up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison 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 analytical reports: (1) a record quality audit covering field completeness, format validity, null checks, and value range issues across up to 200 input rows; and (2) a keyed dataset comparison that matches rows by row_id between the primary and reference datasets, reporting field-level deltas for headcount and open_roles per company_group and date.
Example use cases
Pre-load headcount data quality check
“Before I push this headcount data into our data warehouse, can you run a quality audit on these 150 company headcount observation records? Each row has a row_id, company_group, date, headcount, and open_roles — flag anything that looks malformed, null, or out of range.”
Reconcile two HR data extracts
“I have two exports of the same company headcount observations from different systems — one from our HRIS and one from a third-party provider. Can you compare them row by row using the row_id as the key and tell me where headcount or open_roles numbers differ between the two?”
Detect headcount changes between reporting periods
“We have headcount snapshots from last quarter and this quarter for several company groups. Can you compare the two datasets and highlight which company groups and dates show meaningful changes in headcount or open_roles figures?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a dataset comparison in a single call for company headcount observations specifically (headcount + open_roles fields). It is ideal for pre-load validation pipelines, reconciliation between two data sources, or version-diffing headcount snapshots. It does not perform live lookups, external enrichment, or predictions — use it purely for offline analytical checks on data you already have. The $0.01 flat rate covers both reports for up to 200 rows, making it cost-effective for batch validation tasks.
Side effects
- More than 200 rows supplied — request rejected at schema validation
- Missing required fields (row_id, company_group, date, headcount, or open_roles) — row fails validation
- Date field does not match YYYY-MM-DD pattern — schema rejection
- row_id exceeds 80 characters — schema rejection
- Empty rows array — schema rejection (minItems: 1)
- Non-numeric values in headcount or open_roles fields — schema type error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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