{"uid":"cap_AnRgEUEmPTVTaGA3RTOtF","slug":"business-location-inventories-adjacent-row-changes-date-by-category-c2f53a56","name":"Business Location Inventories — Adjacent Row Changes + Date by Category Pivot","description":"Business location inventories — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot for supplied business location inventories records (location_count, verified_locations). 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-05-160?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","location_count","verified_locations"],"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},"location_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"verified_locations":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","location_count":10,"verified_locations":1},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","location_count":20,"verified_locations":2},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","location_count":15,"verified_locations":3},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","location_count":30,"verified_locations":4}],"maxItems":200,"minItems":1},"field":{"enum":["location_count","verified_locations"],"type":"string","default":"location_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_cve0FEQ-vEPfvLsn5M7kZ","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 business location inventory data (location_count, verified_locations) across up to 200 rows.","exampleAgentPrompt":"Can you run an adjacent row changes analysis and a date-by-category pivot on my business location inventory data? I have records with company_group, date, location_count, and verified_locations — here are up to 200 rows — and I want to analyze location_count specifically.","exampleUseCases":[{"title":"Franchise expansion tracking by group","prompt":"I have daily location counts and verified locations for two franchise groups over the past quarter — can you calculate how location_count changed between consecutive rows and also give me a pivot table of location counts by date and group?"},{"title":"Retail chain inventory audit","prompt":"Here are 150 rows of our retail chain's location data with dates, company_group, location_count, and verified_locations — run the adjacent row changes and date-by-category pivot for verified_locations so I can see where counts shifted."},{"title":"Multi-brand location growth analysis","prompt":"I need to analyze location growth across three company groups over October. Can you take my 80 rows of location inventory records and produce both an adjacent row change report and a date-by-category pivot on location_count?"}],"resultDescription":"Returns two reports: (1) an adjacent row changes report showing the delta in the selected field (location_count or verified_locations) between each consecutive row, and (2) a date-by-category pivot table cross-tabulating the selected field values by date and company_group, both computed locally from the supplied data.","failureModes":["Missing required fields (row_id, date, company_group) cause validation errors","More than 200 rows submitted exceeds the row limit and will be rejected","Invalid date format (not YYYY-MM-DD) fails schema validation","Numeric values outside ±1,000,000,000,000 fail validation","Empty rows array returns an error","Invalid field enum value (not location_count or verified_locations) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need both a sequential row-over-row change analysis and a date-by-category pivot on business location inventory data in a single low-cost call. It is ideal when you already have the data locally (no live lookup needed) and want two complementary analytical views — trend deltas and a cross-tabulated summary — for up to 200 rows at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:15.239Z","isFirstParty":false,"canonicalSlug":"business-location-inventories-adjacent-row-changes-date-by-category-c2f53a56"}