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Company Headcount Observations — String Normalisation + Keyed Dataset Comparison
x402
Company Headcount Observations — String Normalisation + 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).
Normalises company name strings and compares two sets of headcount/open-roles observations row-by-row using local analytical engines, returning two reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — String normalisation + Keyed dataset comparison: String normalisation + 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 analytical reports: a string normalisation report (standardised company_group labels) and a keyed dataset comparison report highlighting row-by-row differences in headcount and open_roles between the two supplied datasets, derived entirely from the provided data with no live lookups.
Example use cases
Reconciling HR data from two vendors
“I got headcount exports from two different HR systems for the same companies and dates — can you normalise the company name strings and do a keyed comparison of the two datasets so I can see where the headcount and open_roles numbers diverge? I have up to 150 rows in each.”
Spotting workforce changes between snapshots
“I pulled our company headcount data for last quarter and this quarter — each has about 80 rows with row_id, company_group, date, headcount, and open_roles. Can you normalise the company names and compare the two snapshots side by side to flag any rows where the numbers changed?”
Validating a manually edited headcount file
“Someone manually edited our headcount spreadsheet and I want to check what changed. Can you take the original and edited versions — both under 200 rows with row_id, company_group, date, headcount, and open_roles — normalise the company group strings, and run a keyed comparison to produce two reports showing what's different?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-036?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to reconcile or compare two batches of company headcount and open-roles data offline, with company name string normalisation included, for up to 200 rows per dataset — particularly when no live data lookup, prediction, or external enrichment is needed and a flat per-call cost is preferred.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation errors
- Invalid date format (must be YYYY-MM-DD) results in schema rejection
- Numeric values outside the allowed range trigger validation failure
- Empty rows array rejected due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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