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Job Listing Inventories — String Normalisation + Trailing Mean Series
x402
Job Listing Inventories — String Normalisation + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Normalises string fields and computes a trailing moving average series for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — String normalisation + Trailing mean series: String normalisation + Trailing mean 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
Returns two analytical reports for the supplied rows: (1) string-normalised output for the company_group and other string fields, and (2) a trailing mean series for the specified numeric field (listing_count or duplicate_listings) computed over the given window size — all processed locally with no external lookups.
Example use cases
Smoothing recruitment pipeline data
“I have weekly job listing counts for three company groups over the past two months — normalise the company name strings and give me a trailing mean series for listing_count with a window of 4 so I can see the smoothed trend.”
Detecting duplicate listing trends
“Can you run string normalisation and a trailing mean series on this dataset of duplicate_listings counts across our hiring divisions? I have 50 rows and want a window of 7 to spot rolling averages.”
Preparing job board inventory reports
“I need two analytical reports on our job board inventory records — normalise the company_group strings and compute a trailing mean for listing_count with a window of 3 across these 20 daily snapshots.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular job listing inventory records and need both string normalisation of categorical fields and a rolling/trailing mean time series for a numeric measure in a single $0.01 call, with no external data lookup required. Prefer it over general-purpose analytics tools when working within the x402 micropayment ecosystem and needing reproducible, local computation on up to 200 rows.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum row limit
- Invalid date format (not YYYY-MM-DD) — validation error
- Window size outside 2–200 range — parameter error
- Field value not one of listing_count or duplicate_listings — enum validation failure
- All values null for the selected field — mean series may be empty or undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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