{"uid":"cap_nLmhhX9ZqXVRV5ybI-cYZ","slug":"job-listing-inventories-string-normalisation-explicit-missing-value-074ab6ed","name":"Job Listing Inventories — String Normalisation + Explicit Missing-Value Fill","description":"Job listing inventories — String normalisation + Explicit missing-value fill: String normalisation + 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-13-037?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_xXQzoTsxX1wrfFaVroA6R","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":"Normalises strings and fills missing values (using zero, mean, or median) for job listing inventory records containing listing_count and duplicate_listings fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Clean my job listing inventory data — I have up to 50 rows with listing_count and duplicate_listings fields, some of which have null values. Fill missing listing_count values using the median method and normalise all the strings.","exampleUseCases":[{"title":"Fixing nulls in recruiter listing data","prompt":"I have a batch of 120 job listing inventory records from our ATS export where some listing_count values are missing. Can you fill those nulls using the mean and also normalise all the company_group strings for me?"},{"title":"Cleaning duplicate listing metrics","prompt":"My job board inventory dataset has about 80 rows and several duplicate_listings entries are null or have inconsistent string formatting. Fill the missing duplicate_listings values with zero and clean up the strings."},{"title":"Standardising multi-group inventory records","prompt":"We track job listings across two company groups daily and our latest 200-row inventory extract has some null listing_count values. Please normalise the strings and fill those missing values using median imputation so we can run our weekly report."}],"resultDescription":"Returns two analytical reports covering the supplied rows (up to 200): one for string normalisation results and one for explicit missing-value fill results on the specified numeric field (listing_count or duplicate_listings), using the chosen fill method (zero, mean, or median). No external lookups or predictions are made — all processing is local.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causing schema validation failure","Missing required fields (row_id, company_group, date) triggering validation errors","Numeric values outside allowed range (±1,000,000,000,000) causing rejection","Invalid enum value for method or field parameters returning an error","Empty rows array causing a minItems validation failure"],"whenToPreferThis":"Choose this endpoint when you have job listing inventory tabular data (up to 200 rows) that needs both string normalisation and missing-value imputation in a single call, without requiring any live data lookup, external prediction, or professional assessment. It is purpose-built for listing_count and duplicate_listings fields and produces two independent reports cheaply at $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:05.711Z","isFirstParty":false,"canonicalSlug":"job-listing-inventories-string-normalisation-explicit-missing-value-074ab6ed"}