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Job Listing Inventories — String Normalisation + Explicit Missing-Value Fill
x402
Job Listing Inventories — String Normalisation + 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 2026-10-15).
Normalises strings and fills missing values (using zero, mean, or median) for job listing inventory records containing listing_count and duplicate_listings fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — String normalisation + Explicit missing-value fill: String normalisation + 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
Returns two analytical reports covering the supplied rows (up to 200): one for string normalisation results and one for explicit missing-value fill results on the specified numeric field (listing_count or duplicate_listings), using the chosen fill method (zero, mean, or median). No external lookups or predictions are made — all processing is local.
Example use cases
Fixing nulls in recruiter listing data
“I have a batch of 120 job listing inventory records from our ATS export where some listing_count values are missing. Can you fill those nulls using the mean and also normalise all the company_group strings for me?”
Cleaning duplicate listing metrics
“My job board inventory dataset has about 80 rows and several duplicate_listings entries are null or have inconsistent string formatting. Fill the missing duplicate_listings values with zero and clean up the strings.”
Standardising multi-group inventory records
“We track job listings across two company groups daily and our latest 200-row inventory extract has some null listing_count values. Please normalise the strings and fill those missing values using median imputation so we can run our weekly report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-037?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have job listing inventory tabular data (up to 200 rows) that needs both string normalisation and missing-value imputation in a single call, without requiring any live data lookup, external prediction, or professional assessment. It is purpose-built for listing_count and duplicate_listings fields and produces two independent reports cheaply at $0.01 USDC per call.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causing schema validation failure
- Missing required fields (row_id, company_group, date) triggering validation errors
- Numeric values outside allowed range (±1,000,000,000,000) causing rejection
- Invalid enum value for method or field parameters returning an error
- Empty rows array causing a minItems validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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