{"uid":"cap_hDCeTNru5_mewLycrMm-U","slug":"business-location-inventories-trailing-mean-series-adjacent-row-changes-b39a768e","name":"Business Location Inventories — Trailing Mean Series + Adjacent Row Changes","description":"Business location inventories — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes 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-05-146?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_M6xlZQmUDaXUpsXMK0uxn","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 trailing moving-average series and adjacent-row delta changes for business location inventory data (location_count, verified_locations) across up to 200 supplied rows.","exampleAgentPrompt":"I have daily location inventory records for two company groups — can you run a trailing mean with a window of 7 and also show adjacent row changes for the location_count field across all 50 rows?","exampleUseCases":[{"title":"Franchise location growth tracking","prompt":"I've got 90 rows of daily franchise location counts across 3 company groups — can you compute a trailing mean with window size 5 and show me the day-over-day changes for location_count so I can spot growth trends?"},{"title":"Verified location audit over time","prompt":"Run a trailing mean series (window of 10) and adjacent row changes on my verified_locations data for the past 60 dates across two company groups — I want to see where verification numbers are rising or dropping sharply."},{"title":"Multi-group inventory smoothing","prompt":"I have 200 rows of business location inventory records split across group-a and group-b — please calculate a rolling mean with window 14 and the between-row deltas for location_count so I can identify seasonal patterns."}],"resultDescription":"Returns two analytical reports: (1) a trailing mean series showing rolling averages of the selected field over the specified window for each row/group, and (2) adjacent row changes showing the difference between consecutive rows for the selected field — both computed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows submitted — exceeds maximum batch size","Window size larger than number of rows — trailing mean cannot be computed","Invalid date format not matching YYYY-MM-DD pattern — schema validation error","Missing required fields (row_id, date, location_count, verified_locations) — request rejected","Null values in numeric fields may affect mean and delta calculations"],"whenToPreferThis":"Choose this endpoint when you need both a smoothed rolling-average time series AND consecutive-row difference analysis on business location inventory data in a single API call. It is purpose-built for location_count and verified_locations fields, handles up to 200 rows per call, and runs entirely on supplied data with no external dependencies — making it fast, deterministic, and suitable for offline or privacy-sensitive analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:44:52.815Z","isFirstParty":false,"canonicalSlug":"business-location-inventories-trailing-mean-series-adjacent-row-changes-b39a768e"}