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Company Headcount Observations — String Normalisation + Category Frequencies
x402
Company Headcount Observations — String Normalisation + Category Frequencies 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 string fields and computes category frequency distributions for up to 200 company headcount observation records (headcount, open_roles).
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — String normalisation + Category frequencies: String normalisation + Category frequencies 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
Two analytical reports for the supplied rows: (1) a string normalisation report for the headcount and open_roles observation records (standardising company_group and other string fields), and (2) category frequency counts showing how often each distinct company_group value appears across the submitted rows. Results are computed locally with no external lookups.
Example use cases
HR data cleaning before reporting
“I have a batch of 50 company headcount records with messy string values in the company_group field — can you normalize those strings and tell me how frequently each group appears? Here are the rows with row IDs, dates, headcount counts, and open role counts.”
Workforce distribution audit by company group
“We collected headcount and open_roles observations across 3 company groups over the last quarter — can you run string normalization and category frequency analysis on these 120 rows so I can see which groups dominate the dataset?”
Recruiting data quality check
“Before we import this recruiting dataset into our dashboard, can you normalize the company group labels and calculate how often each category shows up across these 80 headcount observation rows with their open_roles values?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-024?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and category frequency analysis on company headcount observations in a single low-cost call. It is ideal for preprocessing HR or workforce datasets before importing into dashboards, detecting inconsistent company_group labels, or auditing the distribution of headcount and open_roles records across groups. Not suitable for live lookups, predictions, or datasets exceeding 200 rows.
Side effects
- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, company_group, date, headcount, or open_roles) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric fields (headcount, open_roles) out of allowed range — validation error
- Empty rows array — minimum 1 item required
- Payment of 0.01 USDC not fulfilled — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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