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Company Headcount Observations — Record Quality Audit + String Normalisation + Category Frequencies
x402
Company Headcount Observations — Record Quality Audit + 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 2026-10-15).
Runs three analytical reports (record quality audit, string normalisation, and category frequency analysis) on supplied company headcount observation records containing headcount and open_roles data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies for supplied company headcount observations records (headcount, open_roles). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit flagging missing values, out-of-range numbers, and malformed dates; (2) a string normalisation report showing standardised versions of company_group strings; and (3) a category frequency table showing how often each company_group value appears across the supplied rows.
Example use cases
HR data pipeline quality check
“I have 150 rows of company headcount observations with dates, headcounts, and open_roles — can you audit the record quality, normalise the company_group strings, and give me category frequencies so I can clean up the dataset before loading it into our warehouse?”
Workforce reporting data validation
“Before I send this quarterly workforce report, can you check these headcount and open_roles records for data quality issues, normalise any inconsistent company group names, and show me how many records fall into each group category?”
Open roles data consistency audit
“Our recruiting team exported headcount observations for groups like 'Engineering', 'Sales', and 'Ops' — can you run all three reports: record quality, string normalisation, and category frequencies on the open_roles and headcount columns?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 company headcount observation records and need three simultaneous analytical passes — quality auditing, string normalisation, and category frequency counting — in a single low-cost call. Ideal for pre-pipeline data cleaning, HR data validation, or workforce dataset inspection without requiring any external lookups or live data.
Side effects
- Input rows array is empty or missing — validation error
- More than 200 rows supplied — request rejected or truncated
- date field does not match YYYY-MM-DD format — schema validation failure
- row_id is blank or exceeds 80 characters — rejected
- headcount or open_roles values outside allowed numeric range — error
- Malformed JSON body — 400 bad request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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