{"uid":"cap_vxiQSevQz_JRY9sJWaNSp","slug":"business-location-inventories-grouped-numeric-summary-explicit-16d8146b","name":"Business Location Inventories — Grouped Numeric Summary + Explicit Missing-Value Fill","description":"Business location inventories — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + 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-05-099?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_uwDLZFdHSz42SZzXku7Y9","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 a grouped numeric summary and fills missing values for business location inventory data (location_count, verified_locations) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have a dataset of business location inventory rows with company_group, date, location_count, and verified_locations — can you run a grouped numeric summary and fill any missing location_count values using median imputation? Here are up to 50 rows across groups like 'group-a' and 'group-b'.","exampleUseCases":[{"title":"Retail chain inventory gap analysis","prompt":"I've got a CSV of retail location counts and verified locations by company group and date — some rows have nulls. Can you group the data by company and give me a numeric summary, and fill in the missing location_count values using the median?"},{"title":"Franchise network reporting","prompt":"I need to report on our franchise network's location inventory. I have 120 rows with company_group, date, location_count, and verified_locations. Fill any missing verified_locations with zero and give me a grouped summary by company group."},{"title":"Pre-analysis data cleaning for location data","prompt":"Before I run my analysis, can you clean up this business location dataset by filling missing location_count values with the group mean, and also give me a grouped numeric summary across all company groups? I have about 80 rows."}],"resultDescription":"Returns two reports: (1) a grouped numeric summary showing aggregate statistics (e.g. count, sum, mean, min, max) for the selected numeric field (location_count or verified_locations) broken down by company_group; and (2) the same dataset with missing values in the selected field explicitly filled using the chosen method (zero, mean, or median). Both reports cover the supplied rows (up to 200).","failureModes":["Rows array is empty or missing — returns validation error","More than 200 rows submitted — rejected with max items error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Unknown fill method or field enum value — rejected","All values in selected field are null — mean/median fill may return zero or undefined","Payment of 0.01 USDC not provided or rejected — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need both a grouped statistical summary AND missing-value imputation for business location inventory data in a single call. Ideal for pre-analysis data cleaning pipelines where location_count or verified_locations fields may have gaps, and you need per-group aggregates alongside a filled dataset. Best suited for offline/batch analytical workflows on supplied data (up to 200 rows) rather than live lookups or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:47.291Z","isFirstParty":false,"canonicalSlug":"business-location-inventories-grouped-numeric-summary-explicit-16d8146b"}