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Job Listing Inventories — Keyed Dataset Comparison & Missing-Value Fill
x402
Job Listing Inventories — Keyed Dataset Comparison & 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).
Compares two job listing inventory datasets by key, filling missing values explicitly, and returns 2 analytical reports covering listing_count and duplicate_listings fields for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + 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: one keyed dataset comparison showing row-by-row differences between the two supplied datasets (matched on row_id), and one explicit missing-value fill report — both covering the selected field (listing_count or duplicate_listings) across up to 200 rows per dataset, computed locally with no external lookups.
Example use cases
Reconciling job board snapshot discrepancies
“I have two weekly snapshots of job listing counts by company group from October 2026 — can you compare them row by row using row_id as the key, fill in any null listing_count values, and give me a report showing where the numbers differ?”
Auditing duplicate listings across data sources
“Compare my two job listing inventory files and highlight any differences in duplicate_listings values by company group and date, filling gaps where one source has nulls, and return both the listing_count and duplicate_listings comparison reports.”
Data quality check for HR analytics pipeline
“Before I load these job listing records into my analytics pipeline, run a keyed comparison between my baseline and updated datasets — use row_id as the key, fill missing values explicitly, and flag any mismatches in listing_count and duplicate_listings across all rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-190?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two structured job listing inventory datasets you want to compare key-by-key (by row_id) and need explicit missing-value filling for listing_count or duplicate_listings fields — all offline, with no live data lookups. Ideal for data quality audits, reconciliation of two snapshots, or pre-pipeline validation of HR/job board inventory data at low cost ($0.01 for 2 reports on up to 200 rows).
Side effects
- Exceeding 200 rows per dataset returns a validation error
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) causes schema rejection
- Malformed date strings not matching YYYY-MM-DD pattern fail validation
- Numeric values outside the allowed range cause rejection
- Empty rows array (minItems: 1 not met) returns an error
- Mismatched row_id keys between primary and secondary datasets may result in unmatched rows in the comparison report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| method | string |
Tags
x402
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