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Job Listing Inventories — Exact Row Deduplication + Base-100 Series
x402
Job Listing Inventories — Exact Row Deduplication + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Deduplicates job listing inventory rows and generates a Base-100 index series for listing_count or duplicate_listings metrics across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 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 independent analytical reports: (1) an exact row deduplication report identifying and removing fully identical rows from the supplied job listing inventory data, and (2) a Base-100 index series for the chosen field (listing_count or duplicate_listings), normalizing values relative to the chosen base row index. Both reports operate entirely on the supplied data with no external lookups.
Example use cases
Weekly job board deduplication audit
“I've got 150 rows of job listing inventory data across several company groups — can you find and remove all exact duplicate rows, and also give me a Base-100 index for listing_count anchored to the very first row?”
Tracking duplicate listings trend by group
“Run a Base-100 series on the duplicate_listings field for my job listing inventory records so I can see how duplicates have grown relative to the baseline — I have about 80 rows spanning October through December, starting the index at row 0.”
Pre-pipeline data quality check for listings
“Before I load this job listing inventory dataset into our pipeline, can you do an exact row deduplication pass and index the listing_count column to base 100 from the start? I have 60 rows with row_id, company_group, date, listing_count, and duplicate_listings fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-047?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and a Base-100 normalization index for job listing inventory data in a single low-cost call ($0.01 USDC). It is ideal for data quality checks before pipeline ingestion, trend analysis relative to a baseline period, or quick audits of listing count datasets up to 200 rows. Prefer it over general-purpose deduplication tools when your data specifically contains listing_count and duplicate_listings fields and you want both reports simultaneously without any external data lookups or live predictions.
Side effects
- Exceeding 200 rows causes rejection — input must be trimmed to maxItems: 200
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) on any row causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema validation error
- base_index out of range (0–199) or exceeding the number of supplied rows causes an error
- Null values in the target field may affect Base-100 index calculation
- Payment failure or insufficient USDC balance prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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