{"uid":"cap_hnEru-_C2y028br8-3KYn","slug":"job-listing-inventories-numeric-interval-filter-date-by-category-pivot-7c96ffc4","name":"Job Listing Inventories — Numeric Interval Filter + Date by Category Pivot","description":"Job listing inventories — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot 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-13-133?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_T31LXkNRC4WpDnsLeYen7","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 range on a chosen field and pivots date-based records by company category, returning two analytical reports for up to 200 supplied rows.","exampleAgentPrompt":"I have a dataset of job listing inventory records with listing_count and duplicate_listings columns across different company groups — can you filter the rows where listing_count is between 5 and 50, and also give me a pivot of listing_count by date and company group? Here are the rows: [{\"row_id\":\"r1\",\"company_group\":\"tech\",\"date\":\"2025-01-10\",\"listing_count\":12,\"duplicate_listings\":2},{\"row_id\":\"r2\",\"company_group\":\"finance\",\"date\":\"2025-01-11\",\"listing_count\":80,\"duplicate_listings\":5}].","exampleUseCases":[{"title":"Filter listings within acceptable range","prompt":"Here's my job listing inventory data for Q1 — can you filter all rows where listing_count falls between 10 and 100, and also pivot those records by date and company group so I can see the breakdown? I have about 60 rows across groups like 'retail', 'tech', and 'healthcare'."},{"title":"Spot duplicate listing spikes by category","prompt":"I want to see which company groups have duplicate_listings between 5 and 50 across these 120 job inventory rows, and also get a date-by-category pivot on duplicate_listings so I can track where spikes are happening over time."},{"title":"Validate listing counts for a specific partner","prompt":"I've got 45 rows of job listing data for our partner companies — please filter where listing_count is between 0 and 25 and give me the date-by-company-group pivot as well, using listing_count as the measure."}],"resultDescription":"The endpoint returns two reports: (1) a numeric interval-filtered list of rows where the chosen field (listing_count or duplicate_listings) falls within the specified minimum and maximum bounds, and (2) a date-by-category pivot table grouping the records by date and company_group with aggregated values for the selected field. Both reports are derived entirely from the supplied input rows with no external data lookup.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row rejection or parse error","Minimum value greater than maximum value may return empty filter results","Missing required fields (row_id, date, company_group) cause row-level validation errors","Null numeric values in the chosen field are excluded from interval filtering","Payment of 0.01 USDC not confirmed — request blocked by x402 payment gate"],"whenToPreferThis":"Choose this endpoint when you have up to 200 job listing inventory rows with listing_count and duplicate_listings fields and need both a numeric range filter and a date-by-category pivot in a single paid call. It is ideal for offline or privacy-sensitive analysis since all computation is local with no external data lookups. Prefer this over generic analytics tools when you need two coordinated reports (filter + pivot) on job listing data in one low-cost API call without setting up your own data pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:29.024Z","isFirstParty":false,"canonicalSlug":"job-listing-inventories-numeric-interval-filter-date-by-category-pivot-7c96ffc4"}