{"uid":"cap_QtXIgClKO57iENCGlkUN5","slug":"job-listing-inventories-numeric-interval-filter-two-measure-correlation-22498d8c","name":"Job Listing Inventories — Numeric Interval Filter + Two-Measure Correlation","description":"Job listing inventories — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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-13-131?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_qsML4IHoo9Xh-LJzeGRp6","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":"Filters job listing inventory rows by a numeric interval on a chosen field and computes a correlation between listing_count and duplicate_listings across up to 200 supplied rows.","exampleAgentPrompt":"I have up to 200 rows of job listing inventory data with listing_count and duplicate_listings columns — can you filter rows where listing_count is between 5 and 50, then run the two-measure correlation between listing_count and duplicate_listings on that data?","exampleUseCases":[{"title":"Duplicate rate analysis by listing volume","prompt":"Here are my job board inventory records — filter them to rows where listing_count is between 10 and 100, then compute the correlation between listing_count and duplicate_listings so I can see if high-volume companies tend to have more duplicate postings."},{"title":"Outlier company group investigation","prompt":"I want to look at only the company groups with duplicate_listings between 0 and 5 in my dataset and get the two-measure correlation with listing_count — can you run both reports on these 150 rows?"},{"title":"Quality audit on job listing pipeline","prompt":"We're auditing our job listing pipeline — please filter these records to where listing_count is between 20 and 200 and then correlate listing_count with duplicate_listings across all the rows so we can quantify the duplication problem."}],"resultDescription":"Returns two analytical reports: (1) the subset of rows where the chosen field (listing_count or duplicate_listings) falls within the specified minimum–maximum interval, and (2) a Pearson or equivalent correlation coefficient between listing_count and duplicate_listings across the supplied data, both computed locally on the submitted rows with no external lookups.","failureModes":["Fewer than 1 row submitted — violates minItems constraint","More than 200 rows submitted — exceeds maxItems limit","date field not matching YYYY-MM-DD pattern — schema validation error","minimum greater than maximum — undefined interval produces empty filter result","All values null for one measure — correlation undefined or NaN","field enum value not 'listing_count' or 'duplicate_listings' — validation error"],"whenToPreferThis":"Choose this endpoint when you already have job listing inventory data locally and need both a numeric range filter and a two-measure correlation in a single paid call. It is ideal for offline or batch analytical workflows on up to 200 rows of listing_count and duplicate_listings data without requiring live data lookups, external integrations, or predictive modeling.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:31.340Z","isFirstParty":false,"canonicalSlug":"job-listing-inventories-numeric-interval-filter-two-measure-correlation-22498d8c"}