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Job Listing Inventories — Grouped Numeric Summary + Explicit Missing-Value Fill
x402
Job Listing Inventories — Grouped Numeric Summary + 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).
Computes grouped numeric summaries and fills missing values (zero/mean/median) for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows, producing 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + 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 2 analytical reports: (1) a grouped numeric summary of the specified field aggregated by company_group, and (2) the dataset with missing values in the chosen field explicitly filled using the selected method (zero, mean, or median). Results are derived entirely from the supplied rows — no external data is fetched.
Example use cases
Monthly listing audit by company group
“I have 150 rows of job listing inventory data across several company groups for October 2026. Can you group them by company and give me a numeric summary of listing_count, filling any nulls with the median?”
Duplicate listing analysis with zero-fill
“Here's my job listing dataset with duplicate_listings counts — some values are missing. Can you group it by company_group, summarize the duplicate_listings column, and fill the missing values with zero?”
Multi-company inventory comparison report
“I want to compare listing inventories across our company groups. Can you generate grouped numeric summaries for both listing_count and duplicate_listings from these 80 rows, using mean to fill any gaps?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-099?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular job listing inventory data (up to 200 rows) that needs grouped aggregation by company and missing-value imputation — without any need for external lookups, live data, or predictions. It is ideal for lightweight batch analytical reporting on listing_count or duplicate_listings within a local, offline analytical pipeline, and is cost-effective at $0.01 per call covering 2 reports.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date) causes row rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Invalid enum values for 'field' or 'method' return a schema error
- Empty rows array is rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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