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Company Headcount Observations — String Normalisation & Missing-Value Fill
x402
Company Headcount Observations — String Normalisation & 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 2026-10-15).
Normalises string fields and fills missing values (headcount or open_roles) in company headcount observation records using zero, mean, or median imputation across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — String normalisation + Explicit missing-value fill: String normalisation + 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 for the submitted rows: one covering string normalisation applied to the company_group and date fields, and one covering explicit missing-value imputation for the selected field (headcount or open_roles) using the chosen method (zero, mean, or median). Output reflects cleaned, standardised records ready for downstream analysis.
Example use cases
Imputing missing headcount before reporting
“I have a set of 80 company headcount observations across several groups with some null headcount values — can you fill those gaps using median imputation and normalise the string fields so I can feed the cleaned data into my monthly workforce report?”
Cleaning open_roles data with zero fill
“My HR dataset has about 120 rows tracking open_roles by company group and date, but several entries are missing — please fill those missing open_roles values with zero and normalise any inconsistent string formatting across the records.”
Standardising headcount records for a BI pipeline
“Before I load our headcount observation records into the data warehouse, I need the strings normalised and any null headcount values replaced with the mean — can you process these 200 rows and give me back the cleaned dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-037?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular company headcount or open_roles observation data that needs string field normalisation and missing-value imputation in a single lightweight call. It is ideal for pre-processing HR or workforce datasets of up to 200 rows before loading into analytics pipelines or BI tools. Prefer it over general-purpose data tools when you specifically need the combination of string normalisation and explicit null fill (zero, mean, or median) on headcount or open_roles columns without requiring live data lookup or external enrichment.
Side effects
- Rows array exceeds 200 items — 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
- Unknown imputation method value — enum mismatch error
- All values already present — imputation report will show no changes made
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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