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Job Listing Inventories — Category Frequencies & Missing-Value Fill
x402
Job Listing Inventories — Category Frequencies & 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).
Analyzes up to 200 job listing inventory rows to produce category frequency distributions and explicitly fill missing values for listing_count and duplicate_listings fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Category frequencies + Explicit missing-value fill: Category frequencies + 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: (1) a category frequency distribution showing how often each distinct value or category appears across the specified field (listing_count or duplicate_listings), and (2) an explicit missing-value fill report where null/missing values are replaced using the chosen method (zero, mean, or median). Both reports are derived purely from the supplied rows with no external data lookups.
Example use cases
Audit company group listing frequencies
“I have 150 rows of job listing inventory records across several company groups with dates ranging through Q4 2026 — can you give me a category frequency breakdown of listing_count by company group and fill any null listing_count values using median?”
Clean duplicate listing data for reporting
“My job listing dataset has some missing values in duplicate_listings — can you fill those nulls using mean imputation and also show me how frequently each value appears across all rows? I have about 80 records to analyze.”
Validate job listing inventory before pipeline
“Before I push this job listing inventory into our pipeline, can you run a category frequency check and zero-fill any missing listing_count values across these 200 rows so I can spot anomalies in the distribution?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-112?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need quick, local analytical summaries — specifically category frequency distributions and missing-value imputation — on job listing inventory data (listing_count, duplicate_listings) without any external lookups, predictions, or professional assessments. It is ideal for small-to-medium datasets (up to 200 rows) where you want two bundled reports in a single low-cost call. Prefer alternatives if you need more than 200 rows, live data enrichment, predictive modeling, or domain-specific HR assessments.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes validation error
- Missing required fields (row_id) causes row rejection
- Numeric values outside allowed range (-1e12 to 1e12) cause schema validation failure
- Empty rows array returns error
- Invalid method or field enum value causes bad request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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