{"uid":"cap_YaR-aa7CJriwZcXNFfyta","slug":"job-listing-inventories-daily-sum-series-explicit-missing-value-fill-cadf9b19","name":"Job Listing Inventories — Daily Sum Series + Explicit Missing-Value Fill","description":"Job listing inventories — Daily sum series + Explicit missing-value fill: Daily sum series + 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-13-145?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_9h9FE1QzId353cyH8kxfC","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 daily sum time series and fills missing values for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows.","exampleAgentPrompt":"I have job listing inventory records for group-a and group-b from October 2026 — can you compute the daily sum series for listing_count across all rows and fill any missing values using median imputation? Here are up to 200 rows with date, company_group, listing_count, and duplicate_listings fields.","exampleUseCases":[{"title":"Daily listing count aggregation by company","prompt":"I have 150 rows of daily job listing data for several company groups spanning Q3 — please compute the daily sum series for listing_count and fill any missing days using median fill so I can see clean daily totals per group."},{"title":"Duplicate listing gap-fill for reporting","prompt":"My job listing inventory dataset has some null values in duplicate_listings — can you run a daily sum aggregation and fill those missing values with zero so I can produce a clean weekly report?"},{"title":"Trend analysis prep with mean imputation","prompt":"I need to prepare my job listing inventory records for a trend analysis — please aggregate listing_count into a daily sum series and fill any missing entries using mean imputation across the 80 rows I'm sending."}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series for the selected field (listing_count or duplicate_listings) aggregated across the supplied rows, and (2) an explicit missing-value-filled version of the dataset using the chosen strategy (zero, mean, or median). Results cover up to 200 input rows and are computed locally without external data lookups.","failureModes":["Input array is empty or exceeds 200 rows — validation error returned","Invalid date format (not YYYY-MM-DD) causes row rejection","Unknown fill method enum value results in request error","Required fields (row_id, date, listing_count, duplicate_listings) missing from row objects cause schema validation failure","All values for selected field are null — mean/median fill may produce zero or undefined results"],"whenToPreferThis":"Choose this endpoint when you have job listing inventory data (listing_count, duplicate_listings) with missing values and need both a clean daily sum time series and gap-filled records in a single call. It is well-suited for pre-processing inventory snapshots before downstream analytics, especially when you need two bundled reports (aggregation + imputation) for a flat $0.01 USDC fee. Prefer alternatives if you need live data lookup, predictive modeling, or processing more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:42.186Z","isFirstParty":false,"canonicalSlug":"job-listing-inventories-daily-sum-series-explicit-missing-value-fill-cadf9b19"}