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Job Listing Inventories — String Normalisation + Daily Sum Series
x402
Job Listing Inventories — String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Performs string normalisation and daily sum series computation on up to 200 job listing inventory rows (listing_count, duplicate_listings) using local analytical engines, returning two reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — String normalisation + Daily sum series: String normalisation + Daily sum series 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
Two analytical reports per call: (1) a string-normalised version of the supplied job listing inventory records, and (2) a daily sum series for the selected field (listing_count or duplicate_listings), computed locally without any external lookups or predictions.
Example use cases
Daily duplicate listing trend report
“I have a week's worth of job listing inventory data across two company groups with listing_count and duplicate_listings per day — can you normalise the strings and give me a daily sum series for the duplicate_listings field across all 7 rows?”
Multi-group listing count aggregation
“Take these 50 rows of job listing inventory records for groups Alpha, Beta, and Gamma from Q3 2026 and run the string normalisation plus daily sum series on listing_count so I can see totals per day.”
Inventory quality audit for deduplication
“I need to clean up our job listing inventory data — here are 120 rows with listing_count and duplicate_listings by company group and date. Can you normalise the strings and produce a daily sum series for duplicate_listings so I can spot the worst days for duplication?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-027?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have job listing inventory data (listing_count, duplicate_listings) segmented by company group and date, and need both string normalisation and a daily sum series in a single low-cost call (0.01 USDC for up to 200 rows). Ideal for offline batch analytics pipelines where no live lookup or external enrichment is needed.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, listing_count, or duplicate_listings) cause validation errors
- Invalid date format (must match YYYY-MM-DD) results in parsing failure
- Field selector not in enum ['listing_count','duplicate_listings'] causes rejection
- Null numeric values in both metric fields may produce incomplete sum series
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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