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Job Listing Inventories — Grouped Numeric Summary + Secondary-Measure Weighted Mean
x402
Job Listing Inventories — Grouped Numeric Summary + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Computes a grouped numeric summary and a secondary-measure weighted mean for supplied job listing inventory records (listing_count, duplicate_listings) across company groups and dates.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Grouped numeric summary + Secondary-measure weighted mean: Grouped numeric summary + Secondary-measure weighted mean 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 for the supplied rows: (1) a grouped numeric summary with statistics (e.g. count, mean, min, max) broken down by company_group, and (2) a secondary-measure weighted mean for the selected field (listing_count or duplicate_listings) across groups. Up to 200 rows processed per call.
Example use cases
Duplicate listing rate analysis by recruiter group
“I have job listing data across four recruiter groups for Q3 — can you group the records by company_group and compute a numeric summary plus a weighted mean for duplicate_listings so I can see which groups have the worst duplication problem?”
Weekly listing volume summary for job board audit
“We're auditing our job board and have 80 rows of listing_count data tagged by company_group and date — please group them and give me a grouped numeric summary plus a weighted mean for listing_count using these records.”
Comparing job inventory size across hiring companies
“I want to compare job inventory sizes across our partner companies — here are 50 daily snapshot rows with listing_count and duplicate_listings per company_group. Can you group them and compute both a numeric summary and a weighted mean for listing_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-096?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured job listing inventory data (listing_count, duplicate_listings) already in hand and need offline grouped statistics plus a weighted mean — no live job board lookup or external data fetch required. Ideal for batch summarization of up to 200 rows at low cost ($0.01 USDC for both reports). Prefer over general analytics tools when you specifically need company_group-level aggregation of job listing metrics.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) causes validation error
- Date field not matching YYYY-MM-DD pattern causes schema rejection
- Null values in numeric fields may affect weighted mean computation
- Invalid enum value for 'field' parameter returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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