{"uid":"cap_-LqgpHmaThQwoxrSpJbHi","slug":"business-location-inventories-daily-sum-series-missing-value-fill-eb791d13","name":"Business Location Inventories — Daily Sum Series + Missing Value Fill","description":"Business location inventories — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill 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-05-145?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_RcwbZJR6G4Zd6ubJrFKGd","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 daily sum series for business location inventory metrics and fills missing values using a chosen method (zero, mean, or median) across up to 200 rows.","exampleAgentPrompt":"Take my business location inventory records — up to 200 rows with columns date, company_group, location_count, and verified_locations — and give me both a daily sum series and fill any missing location_count values using the median method.","exampleUseCases":[{"title":"Retail chain daily location rollup","prompt":"I have daily records for my retail chain across two groups with location_count and verified_locations columns — can you produce a daily sum series for location_count and fill any nulls with the median so I can see clean totals per day?"},{"title":"Multi-brand inventory gap filling","prompt":"My inventory dataset for multiple brand groups has some missing verified_locations entries across dates — can you aggregate the daily sums and fill those gaps using the mean so the series is complete?"},{"title":"Franchise location audit summary","prompt":"Here are 150 rows of franchise location inventory data by date and company group — can you compute the daily sum series for location_count and use zero-fill for any missing values, and also flag where verified_locations data was absent?"}],"resultDescription":"Returns two reports: (1) a daily sum series aggregating the selected metric (location_count or verified_locations) by date, and (2) a missing-value fill report that replaces nulls using the chosen method (zero, mean, or median), both computed locally without external lookups, covering up to 200 input rows.","failureModes":["Exceeds 200 row limit — request rejected or truncated","Missing required fields (row_id, date, company_group) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema error","Field or method enum value not recognized — schema rejection","All values null for selected field — fill may produce degenerate output","Numeric values outside allowed range — schema validation failure"],"whenToPreferThis":"Choose this endpoint when you need offline, deterministic daily aggregation and missing-value imputation for business location inventory data (location_count, verified_locations) without any external data lookups or predictions. It is ideal for cleaning and summarizing structured tabular location records up to 200 rows with a single low-cost call that returns two complementary analytical reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:02.881Z","isFirstParty":false,"canonicalSlug":"business-location-inventories-daily-sum-series-missing-value-fill-eb791d13"}