{"uid":"cap_FrUo0G9oAp8nR6_KdMBMK","slug":"job-listing-inventories-adjacent-row-changes-date-by-category-pivot-428f1c36","name":"Job Listing Inventories — Adjacent Row Changes + Date by Category Pivot","description":"Job listing inventories — Adjacent row changes + Date by category pivot: Adjacent row changes + 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-13-160?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_gD7nT3_xDMR3sSIRgPILL","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":"Computes adjacent row changes and a date-by-category pivot table for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows.","exampleAgentPrompt":"I have a dataset of job listing inventory rows with listing_count and duplicate_listings per company group and date — can you run both an adjacent row changes report and a date-by-category pivot on the listing_count field for these up to 200 records?","exampleUseCases":[{"title":"Track listing count shifts across daily snapshots","prompt":"I have daily job listing snapshots for group-a and group-b from October — can you run adjacent row change analysis and a date pivot on the listing_count field so I can see how counts shifted day to day?"},{"title":"Audit duplicate listings by company group over time","prompt":"I want to understand how duplicate_listings are distributed across company groups over a date range — can you run the row-change diff and date-category pivot on my duplicate_listings data for these 80 records?"},{"title":"Compare inventory trends across recruitment categories","prompt":"I have 150 rows of job listing inventory data split across several company groups with dates and listing counts — please give me both the adjacent row changes and the date-by-category pivot so I can spot anomalies across categories."}],"resultDescription":"Returns two analytical reports: (1) an adjacent row changes report showing value differences between consecutive rows for the selected field, and (2) a date-by-category pivot table cross-tabulating the selected field (listing_count or duplicate_listings) by date and company_group. No external data is fetched; all computation is performed on the supplied rows.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, company_group, listing_count, duplicate_listings) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Null numeric values may produce gaps or nulls in computed deltas","Selecting a field not in the enum ('listing_count' or 'duplicate_listings') causes an error","Fewer than 1 row provided causes a minItems validation failure"],"whenToPreferThis":"Choose this endpoint when you need two specific analytical reports — adjacent row-to-row differences and a date-by-category pivot — on job listing inventory data (listing_count or duplicate_listings) supplied by the caller. It is ideal for offline, reproducible batch analysis of up to 200 records without any external data dependencies. Prefer it over general-purpose analytics tools when cost certainty ($0.01 USDC for both reports) and schema-constrained inputs are acceptable.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:21.846Z","isFirstParty":false,"canonicalSlug":"job-listing-inventories-adjacent-row-changes-date-by-category-pivot-428f1c36"}