{"uid":"cap_hj6v3MgP4Lhk3UccjxaPP","slug":"business-location-inventories-numeric-row-ordering-trailing-mean-series-81c5f3ab","name":"Business Location Inventories — Numeric Row Ordering + Trailing Mean Series","description":"Business location inventories — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean 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-05-115?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_gOBgH0vWEbU51y1eMAm6x","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 numeric row ordering and trailing mean series for business location inventory data (location_count, verified_locations) across up to 200 rows.","exampleAgentPrompt":"Take my location inventory records — rows with date, company_group, location_count, and verified_locations — and give me both a numeric row ordering and a trailing mean series for location_count using a window size of 3.","exampleUseCases":[{"title":"Rank and smooth multi-group location counts","prompt":"I have 50 rows of daily location_count data across two company groups. Can you rank them numerically and compute a trailing mean with a window of 5 so I can see the smoothed trend?"},{"title":"Verified locations rolling average report","prompt":"Run a numeric row ordering and trailing mean series on my verified_locations field across these 80 inventory records — use a window of 4 and group them by company_group."},{"title":"Spot volatility in location inventory data","prompt":"I want to order these location inventory rows numerically and see a 7-day trailing mean for location_count so I can spot where our numbers are volatile across dates."}],"resultDescription":"Returns two analytical reports for the supplied rows: (1) a numeric row ordering ranking each row by the selected field value, and (2) a trailing mean series applying a rolling average with the specified window size to the selected field — both computed locally without external lookups or predictions.","failureModes":["Fewer than 1 row provided — 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 — must match YYYY-MM-DD pattern","Missing required fields (row_id, date, location_count, verified_locations) — request rejected","Non-numeric values in location_count or verified_locations — computation fails"],"whenToPreferThis":"Choose this endpoint when you have tabular business location inventory data and need both a ranked row ordering and a rolling/trailing mean series in a single call for up to 200 rows, without needing live data lookups, external enrichment, or predictive modeling. Ideal for offline analytics pipelines, data QA, or smoothing noisy location count time series across company groups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:59.591Z","isFirstParty":false,"canonicalSlug":"business-location-inventories-numeric-row-ordering-trailing-mean-series-81c5f3ab"}