{"uid":"cap_m97_J6z27jOU-p_SPUwZA","slug":"business-location-inventories-string-normalisation-secondary-measure-58757695","name":"Business Location Inventories — String Normalisation + Secondary-Measure Weighted Mean","description":"Business location inventories — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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-05-034?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"}}},"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_8syBeP2fQ7rt7JTALvg32","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":"Normalises string fields and computes a secondary-measure weighted mean for supplied business location inventory records (location_count, verified_locations) across up to 200 rows.","exampleAgentPrompt":"I have a batch of up to 50 business location inventory rows with company groups like 'group-a' and 'group-b', dates, location_count, and verified_locations — can you run string normalisation on the company group field and compute a secondary-measure weighted mean for location_count across those rows?","exampleUseCases":[{"title":"Retail chain location audit rollup","prompt":"I have 120 rows of retail location inventory data with company groups, dates, location counts, and verified location counts — can you normalise the company group strings and give me a weighted mean of location_count using verified_locations as the secondary measure?"},{"title":"Franchise footprint weighted summary","prompt":"Here are 80 records of franchise location data across multiple company groups and dates. Run string normalisation on the group names and compute the secondary-measure weighted mean for verified_locations so I can compare franchise footprints."},{"title":"Multi-brand inventory data clean-up","prompt":"I've got 200 rows of business location inventory data with messy company group strings — can you normalise those strings and also compute a weighted mean of location_count weighted by verified_locations so I can get clean summary stats?"}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report for the company group field across the submitted rows, and (2) a secondary-measure weighted mean calculation for the selected numeric field (location_count or verified_locations), all computed locally against the supplied data with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, company_group, location_count, verified_locations) causes row rejection","Invalid date format (non YYYY-MM-DD) triggers a pattern validation error","Selecting an invalid field value outside the enum causes a schema error","Null values in the numeric fields may affect weighted mean calculation accuracy"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a secondary-measure weighted mean computed together on business location inventory data (location_count, verified_locations) in a single low-cost call. It is ideal for offline/batch analytical enrichment of up to 200 rows without requiring live lookups, predictions, or external data — particularly when company group string consistency and weighted location summaries are both needed simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:44:36.600Z","isFirstParty":false,"canonicalSlug":"business-location-inventories-string-normalisation-secondary-measure-58757695"}