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Job Listing Inventories — Base-100 Series + Explicit Missing-Value Fill
x402
Job Listing Inventories — Base-100 Series + Explicit 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 up to 200 rows of job listing inventory data (listing_count, duplicate_listings) into Base-100 indexed series and fills missing values using zero, mean, or median imputation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill for supplied job listing inventories records (listing_count, duplicate_listings). 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 per call: (1) a Base-100 indexed series for the specified numeric field (listing_count or duplicate_listings), rebased to 100 at the chosen base_index row; and (2) an explicit missing-value fill of that field using the selected method (zero, mean, or median). Both reports operate on the supplied rows (up to 200) using local analytical engines with no external lookups.
Example use cases
Monthly listing trend normalization
“I have 30 rows of daily job listing counts for two company groups across November 2026. Can you normalize listing_count into a base-100 series starting from row 0 and fill any null values with the median?”
Duplicate listing share baseline comparison
“Here are 50 rows of job inventory records with some missing duplicate_listings values — please index duplicate_listings to base-100 starting from row 5 and fill the blanks with the mean so I can compare across company groups.”
Recruitment inventory imputation before reporting
“I need to clean up this job listing dataset of 120 rows before my report — fill any missing listing_count values with zero and also give me the base-100 series anchored at row 0 so the trend is easy to read.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-169?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of job listing inventory data and need both Base-100 normalization and missing-value imputation in a single low-cost call. It is ideal for preprocessing recruitment pipeline data before visualization or reporting, particularly when comparing listing_count or duplicate_listings across company groups over time. Prefer this over general-purpose analytics tools when you want a deterministic, reproducible transform with explicit imputation control (zero, mean, or median) and no external data dependencies.
Side effects
- More than 200 rows supplied — request is rejected or truncated
- base_index out of range (0–199) relative to actual row count
- Invalid date format (must be YYYY-MM-DD)
- All values for the target field are null — mean/median imputation is undefined
- row_id missing or exceeds 80 characters — validation error
- Numeric values outside ±1,000,000,000,000 range rejected
- Payment of 0.01 USDC not completed — x402 payment required before response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| base_index | integer |
Tags
x402
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