{"uid":"cap_nZgEhQemMFPiqWL1AVQCx","slug":"job-listing-inventories-numeric-distribution-explicit-missing-value-5db642b0","name":"Job Listing Inventories — Numeric Distribution + Explicit Missing-Value Fill","description":"Job listing inventories — Numeric distribution + Explicit missing-value fill: Numeric distribution + 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-13-085?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_KPaEyaFs8LMagPotDfy7d","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":"Computes numeric distribution statistics and fills missing values (zero, mean, or median) for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows.","exampleAgentPrompt":"Analyze my job listing inventory data and fill in any missing listing_count values using the median — here are 4 rows: row-1, group-a, 2026-10-01, listing_count=10, duplicate_listings=1; row-2, group-b, 2026-10-02, listing_count=null, duplicate_listings=2; row-3, group-a, 2026-10-03, listing_count=15, duplicate_listings=null; row-4, group-b, 2026-10-04, listing_count=30, duplicate_listings=4.","exampleUseCases":[{"title":"Cleaning recruitment data before reporting","prompt":"I have 50 rows of monthly job listing inventory data for our hiring dashboard and some listing_count values are null — can you fill in those gaps using the median and show me the numeric distribution across the dataset?"},{"title":"Auditing duplicate listings across company groups","prompt":"Run a distribution analysis and missing-value fill (using mean) on these 80 rows of job listing records focusing on the duplicate_listings field — I need to see where the data is sparse and what the spread looks like across company groups."},{"title":"Benchmarking listing volumes over time","prompt":"I've got a quarterly snapshot of job listing counts for 120 rows across several company groups, some with missing values — fill in the blanks with zero and give me the numeric distribution report for listing_count so I can benchmark performance."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, percentiles) for the selected field across the supplied rows, and (2) an explicit missing-value fill report showing which rows had null values and what replacement values were applied using the chosen method (zero, mean, or median).","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Unknown field or method enum value causes rejection","All values for the selected field are null, making mean/median undefined","Empty rows array (minItems: 1 not met) causes validation error"],"whenToPreferThis":"Choose this endpoint when you have tabular job listing inventory data (listing_count, duplicate_listings) and need both a numeric distribution summary and missing-value imputation in a single call, without any live data lookup, prediction, or external integration. It is ideal for data cleaning and exploratory analysis pipelines on small-to-medium datasets (up to 200 rows) where a flat-rate cost of $0.01 USDC for two reports is acceptable.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:03.304Z","isFirstParty":false,"canonicalSlug":"job-listing-inventories-numeric-distribution-explicit-missing-value-5db642b0"}