{"uid":"cap_yZuak0FTD2aAujLMCCsgX","slug":"job-listing-inventories-category-frequencies-numeric-row-ordering-71e7d1ef","name":"Job Listing Inventories — Category Frequencies + Numeric Row Ordering","description":"Job listing inventories — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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-13-100?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_6CnEz5YE1IihWNHFJCJFA","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":"Analyzes supplied job listing inventory records to produce category frequency counts and numeric row ordering across up to 200 rows in two independent reports.","exampleAgentPrompt":"Analyze these job listing inventory records — I have rows with company_group, date, listing_count, and duplicate_listings — and give me two reports: one showing how often each company group appears (category frequencies) and one ranking the rows numerically by listing_count. Here are my rows: [{\"row_id\":\"r1\",\"company_group\":\"TechCorp\",\"date\":\"2024-01-15\",\"listing_count\":120,\"duplicate_listings\":5},{\"row_id\":\"r2\",\"company_group\":\"RetailCo\",\"date\":\"2024-01-16\",\"listing_count\":80,\"duplicate_listings\":2}].","exampleUseCases":[{"title":"Identify dominant hiring companies in dataset","prompt":"I have a set of job listing inventory records for Q1 — each row has a company group, a date, a listing count, and a duplicate count. Can you run both the category frequency report and the numeric row ordering by listing_count so I can see which company groups appear most and which rows have the highest posting volume?"},{"title":"Spot duplicate-heavy listings by rank","prompt":"Here are 50 rows of job listing data with company_group, date, listing_count, and duplicate_listings. Please run the two-report analysis using duplicate_listings as the numeric field so I can see how rows rank by duplicates and which company groups are most represented."},{"title":"Audit job board inventory before reporting","prompt":"Before I send my weekly jobs report, can you run my job listing inventory records through the category frequency and numeric ordering analysis — field is listing_count — so I can catch any company groups that are over-represented or rows that seem outliers?"}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each company_group value appears across the submitted rows, and (2) a numeric row ordering ranking all submitted rows by the selected numeric field (listing_count or duplicate_listings). Covers up to 200 input rows using local analytical engines with no external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncates input","Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) causes validation failure","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Selecting a field value outside the allowed enum (listing_count, duplicate_listings) returns an error","All-null numeric values for the selected field may produce empty or degenerate ordering output"],"whenToPreferThis":"Choose this endpoint when you have a batch of job listing inventory records (up to 200 rows) and need both a category frequency breakdown by company group and a numeric ranking of rows by a chosen metric in a single low-cost call ($0.01 USDC). It is purely local and analytical — no external data, predictions, or live lookups — making it ideal for offline audits, pre-report checks, and lightweight summarization of HR or job board datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:15.959Z","isFirstParty":false,"canonicalSlug":"job-listing-inventories-category-frequencies-numeric-row-ordering-71e7d1ef"}