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Job Listing Inventories — Adjacent Row Changes & Missing-Value Fill
x402
Job Listing Inventories — Adjacent Row Changes & 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 adjacent row changes and fills explicit missing values for job listing inventory records (listing_count, duplicate_listings) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + 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 for the submitted rows: (1) an adjacent row change report showing differences between consecutive rows for the selected field, and (2) an explicit missing-value fill report where nulls in the target field are replaced using the chosen method (zero, mean, or median). Results are computed locally without external lookups.
Example use cases
Tracking weekly listing count shifts
“I have a table of job listing counts by company group across daily dates and want to see how listing_count changes from one row to the next — can you run an adjacent row change report on it and fill any missing listing_count values with the median?”
Cleaning duplicate listing data before reporting
“My duplicate_listings column has several nulls across about 80 rows of recruitment inventory data. Can you fill those missing values using the mean method and also show me row-over-row changes so I can spot anomalies?”
Auditing job board inventory by company group
“I need to audit our job board inventory records — 120 rows grouped by company — and identify adjacent changes in listing_count while replacing any missing values with zero so the report is complete.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-162?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local analytical computation on job listing inventory data — specifically row-over-row delta detection and missing-value imputation — without requiring external data lookups, ML predictions, or professional assessments. Ideal for data cleaning and trend-detection pipelines on small-to-medium datasets (up to 200 rows) at minimal cost.
Side effects
- Rows array is empty or exceeds 200 items — validation error returned
- Invalid date format (not YYYY-MM-DD) in any row — schema rejection
- Unsupported fill method value — enum validation failure
- Non-numeric or out-of-range values in listing_count or duplicate_listings — schema error
- Missing required fields (row_id, date, company_group) in any row — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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