{"uid":"cap_bkALfBd_swJLbGq6UrcQg","slug":"business-location-inventories-record-quality-audit-string-7c4353a6","name":"Business Location Inventories — Record Quality Audit, String Normalisation & Numeric Interval Filter","description":"Business location inventories — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied business location inventories records (location_count, verified_locations). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-05-197?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_HBDBBerhWnpCKKCzOAnZG","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":"Audits data quality, normalises strings, and filters by numeric interval for up to 200 business location inventory records across location_count and verified_locations fields.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and numeric interval filter on my business location inventory records? I have rows with company_group, date, location_count, and verified_locations — filter on location_count between 5 and 50, up to 200 rows.","exampleUseCases":[{"title":"Franchise location data quality check","prompt":"I've got a spreadsheet of franchise location data with company_group, date, location_count, and verified_locations for about 80 locations — can you audit the record quality, normalise the string fields, and filter location_count to rows between 10 and 200?"},{"title":"Verified locations range filtering for reporting","prompt":"Before I send my quarterly report, can you filter our verified_locations data to only rows between 1 and 100, and also run a quality audit and string normalisation on the full dataset? I have around 150 rows with row_id, company_group, date, and verified_locations."},{"title":"Multi-group inventory data validation","prompt":"We have inventory records from four company groups with location_count and verified_locations fields — can you check the data quality, normalise any inconsistent strings, and flag any location_count values outside the range of 0 to 500 across our 120 records?"}],"resultDescription":"Returns three independent reports for the supplied rows: (1) a record quality audit identifying issues such as nulls, out-of-range values, or malformed entries; (2) a string normalisation report for text fields like company_group; and (3) a numeric interval filter report identifying rows where the selected field (location_count or verified_locations) falls within the specified minimum–maximum range. All processing is local with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format not matching YYYY-MM-DD pattern — schema validation error","Missing required fields (row_id, company_group, date, location_count, verified_locations) — validation failure","Minimum value greater than maximum value — undefined filter behaviour or error","Non-numeric values in location_count or verified_locations — schema rejection","Empty rows array — rejected as minItems is 1"],"whenToPreferThis":"Choose this endpoint when you need offline, batch data quality checks on business location inventory records without any external API calls or live lookups. It is ideal when you have up to 200 rows of location_count and verified_locations data and need all three operations — quality audit, string normalisation, and numeric interval filtering — in a single low-cost call. Prefer this over general-purpose data tools when your data conforms to the business location inventory schema with company_group and date fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:40.281Z","isFirstParty":false,"canonicalSlug":"business-location-inventories-record-quality-audit-string-7c4353a6"}