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Company Headcount Observations — Base-100 Series & Missing-Value Fill
x402
Company Headcount Observations — Base-100 Series & 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 2026-10-19).
Transforms supplied company headcount and open-roles time series data into a Base-100 indexed series and fills explicit missing values, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Base-100 series + Explicit missing-value fill: Base-100 series + 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
Two analytical reports: (1) a Base-100 indexed time series for the selected field (headcount or open_roles) anchored to the specified base_index row, normalizing all values relative to that reference point; and (2) a missing-value filled version of the same series using the chosen method (zero, mean, or median). Output covers up to 200 input rows grouped by company_group and date.
Example use cases
Headcount growth benchmarking across divisions
“I have monthly headcount observations for three business units over the past year — can you index all of them to Base-100 starting from the first row so I can compare their relative growth on the same scale?”
Cleaning sparse open roles data before reporting
“My open_roles dataset has several null entries across different company groups — can you fill those missing values using the mean of available entries and give me a clean series back?”
Workforce trend analysis after a hiring freeze
“We froze hiring in Q1 and I have headcount data with some gaps — can you index the headcount field to Base-100 from row 0 and fill missing values with zeros so I can see how each group recovered relative to that baseline?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-169?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected company headcount or open-roles time series data (up to 200 rows) and need both a Base-100 normalized trend series and missing-value imputation in a single call. It is ideal for offline or batch analytical use where the data is already available and no live lookup, prediction, or external data enrichment is required. Prefer this over general analytics platforms when you need a lightweight, pay-per-use computation that handles both normalization and gap-filling simultaneously.
Side effects
- Input array exceeds 200 rows — request will be rejected
- base_index references a row index beyond the array length
- Selected field contains no non-null values, making mean/median fill undefined
- Date strings not matching YYYY-MM-DD pattern will fail schema validation
- Missing required fields (row_id, company_group, date) cause row rejection
- Payment of 0.01 USDC not provided or declined blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| base_index | integer |
Tags
x402
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