{"uid":"cap_uAScBEGroYptR8oUNf0Nn","slug":"job-listing-inventories-exact-row-deduplication-numeric-distribution-9f63e7fc","name":"Job Listing Inventories — Exact Row Deduplication + Numeric Distribution","description":"Job listing inventories — Exact row deduplication + Numeric distribution: Exact row deduplication + Numeric distribution 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-13-039?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","listing_count","duplicate_listings"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"listing_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duplicate_listings":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","listing_count":10,"duplicate_listings":1},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","listing_count":20,"duplicate_listings":2},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","listing_count":15,"duplicate_listings":3},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","listing_count":30,"duplicate_listings":4}],"maxItems":200,"minItems":1},"field":{"enum":["listing_count","duplicate_listings"],"type":"string","default":"listing_count"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_QnYPoxDzmyHyqqaR8ZuPI","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Deduplicates exact rows and computes numeric distribution statistics for job listing inventory records (listing_count, duplicate_listings) across up to 200 rows.","exampleAgentPrompt":"Can you deduplicate my job listing inventory records and give me the numeric distribution for the listing_count field? I have 4 rows: row-1 for group-a on 2026-10-01 with listing_count 10 and duplicate_listings 1, row-2 for group-b on 2026-10-02 with listing_count 20 and duplicate_listings 2, row-3 for group-a on 2026-10-03 with listing_count 15 and duplicate_listings 3, and row-4 for group-b on 2026-10-04 with listing_count 30 and duplicate_listings 4.","exampleUseCases":[{"title":"Audit job board for duplicate postings","prompt":"I have a dataset of 50 job listing inventory rows across several company groups and dates — can you find all exact duplicate rows and also show me the numeric distribution of the duplicate_listings field so I can see how spread out the duplication is?"},{"title":"Validate recruitment data before reporting","prompt":"Before I send this job listing report to the team, can you run an exact row deduplication check and compute the numeric distribution for listing_count on these 120 records so I know if anything looks off?"},{"title":"Compare listing volumes across company groups","prompt":"I want to understand the spread of listing_count values across my 80 job inventory rows for group-a and group-b — can you deduplicate the records first and then give me the numeric distribution for listing_count?"}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying repeated records across the supplied rows, and (2) a numeric distribution report (min, max, mean, percentiles, etc.) for the selected numeric field (listing_count or duplicate_listings), covering up to 200 input rows.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, company_group) cause row-level rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Empty rows array returns an error","Non-numeric values for listing_count or duplicate_listings may cause distribution computation to fail","Numeric values outside allowed range (-1e12 to 1e12) rejected"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and numeric distribution analysis for job listing inventory data (listing_count or duplicate_listings) in a single call. It is ideal for offline/batch data quality checks on datasets up to 200 rows without needing a live data connection, external ML model, or custom code execution. Prefer it over general analytics tools when you need a low-cost, deterministic, schema-enforced dual-report for HR or recruitment inventory data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:37:44.316Z","isFirstParty":false,"canonicalSlug":"job-listing-inventories-exact-row-deduplication-numeric-distribution-9f63e7fc"}