{"uid":"cap_sdFrEEWui4AVrRbC11X-M","slug":"job-listing-inventories-string-normalisation-numeric-distribution-23cd0178","name":"Job Listing Inventories — String Normalisation & Numeric Distribution","description":"Job listing inventories — String normalisation + Numeric distribution: String normalisation + 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-13-022?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_CdKzA3fVHUeGP57l9fHtZ","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":"Runs string normalisation and numeric distribution analysis on up to 200 rows of job listing inventory data (listing_count, duplicate_listings), returning two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation and numeric distribution reports on my job listing inventory data? I have 150 rows with listing_count and duplicate_listings values across multiple company groups — analyse the listing_count field.","exampleUseCases":[{"title":"Auditing duplicate listings across recruiters","prompt":"I have 80 rows of job listing inventory data with company_group and duplicate_listings values by date — can you run string normalisation and a numeric distribution report on the duplicate_listings field so I can spot which groups have unusually high duplicates?"},{"title":"Standardising listing counts for quarterly report","prompt":"Run string normalisation and numeric distribution analysis on my job listing inventory records for Q3 — I've got 200 rows with listing_count per company group and date, and I want both reports on the listing_count field."},{"title":"Spotting outliers in job board inventory","prompt":"Can you analyse this batch of 60 job listing inventory rows for me? I need string normalisation and a numeric distribution breakdown on the listing_count field to see if any company groups are way outside the normal range."}],"resultDescription":"Two analytical reports: (1) a string normalisation report covering text fields such as company_group, and (2) a numeric distribution report (e.g. min, max, mean, percentiles, spread) for the selected numeric field (listing_count or duplicate_listings), computed locally against the supplied rows with no external data lookups.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, company_group, date, listing_count, or duplicate_listings) cause validation errors","Invalid date format (must match YYYY-MM-DD pattern)","Invalid field enum value (must be 'listing_count' or 'duplicate_listings')","All numeric values null — distribution report may be empty or degenerate","Empty rows array — minItems:1 violation"],"whenToPreferThis":"Choose this endpoint when you need fast, offline statistical analysis of job listing inventory records — specifically string normalisation of categorical fields and numeric distribution metrics for listing_count or duplicate_listings — on batches up to 200 rows, without requiring live data lookups or external integrations. Ideal for data quality checks, reporting pipelines, or pre-processing steps before deeper analytics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:44:52.815Z","isFirstParty":false,"canonicalSlug":"job-listing-inventories-string-normalisation-numeric-distribution-23cd0178"}