{"uid":"cap_1-Cg283xdM-2E4I9AKgMq","slug":"business-location-inventories-adjacent-row-changes-base-100-series-79a148b2","name":"Business Location Inventories — Adjacent Row Changes + Base-100 Series","description":"Business location inventories — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series 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-05-155?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_A68yYfPYCD_ebOOHssnq3","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-over-row changes and Base-100 index series for business location inventory data (location_count, verified_locations) on up to 200 supplied rows.","exampleAgentPrompt":"Can you compute the adjacent row changes and Base-100 index series for my location_count data, using row index 0 as the base? Here are my records: row-1 on 2026-10-01 for group-a with location_count 10 and verified_locations 1, row-2 on 2026-10-02 for group-b with location_count 20 and verified_locations 2, and so on up to row-4.","exampleUseCases":[{"title":"Retail chain expansion tracking","prompt":"I have monthly location counts for my retail brand across two company groups over the past year — can you compute the adjacent row-over-row changes and a Base-100 index series for location_count, starting from the very first row?"},{"title":"Verified location growth benchmarking","prompt":"Take these 50 rows of verified_locations data for my franchise network, each with a date and company group, and give me both the period-to-period changes and a Base-100 normalized series so I can benchmark growth against the starting point."},{"title":"Multi-group inventory delta comparison","prompt":"I need to compare how location_count shifted row by row across group-a and group-b in my dataset of 80 records — can you run the adjacent row change report and the Base-100 series for those two groups together?"}],"resultDescription":"Returns two analytical reports: (1) adjacent row changes showing the delta in the selected metric (location_count or verified_locations) between each consecutive row, and (2) a Base-100 index series normalizing all values relative to the row at base_index, both computed locally without any external data lookup.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the maxItems limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","base_index out of range (0–199) or exceeding row count causes an error","Null values in location_count or verified_locations may produce null deltas for affected rows","Missing required fields (row_id, date, company_group) cause row-level validation failure"],"whenToPreferThis":"Choose this endpoint when you have pre-collected business location inventory data and need both sequential row-to-row delta analysis and a normalized Base-100 index series in a single low-cost call. It is ideal for offline/batch analytical workflows on up to 200 rows where no live data lookup, external enrichment, or prediction is needed. Prefer it over general-purpose analytics tools when cost predictability ($0.01 per call for two reports) and schema-enforced inputs are important.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:12.010Z","isFirstParty":false,"canonicalSlug":"business-location-inventories-adjacent-row-changes-base-100-series-79a148b2"}