{"uid":"cap_DHNHZ-GUh8I6xx6nmfEhT","slug":"business-location-inventories-string-normalisation-numeric-row-ordering-3864770d","name":"Business Location Inventories — String Normalisation + Numeric Row Ordering","description":"Business location inventories — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-05-025?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_S9wXESfGg97X8J7rgn3TG","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 applies numeric row ordering to up to 200 business location inventory records (location_count, verified_locations), returning 2 analytical reports.","exampleAgentPrompt":"Normalise the company group strings and order these 4 business location inventory rows by location_count: row-1 group-a 2026-10-01 location_count=10 verified_locations=1, row-2 group-b 2026-10-02 location_count=20 verified_locations=2, row-3 group-a 2026-10-03 location_count=15 verified_locations=3, row-4 group-b 2026-10-04 location_count=30 verified_locations=4 — give me both the string normalisation and numeric ordering reports.","exampleUseCases":[{"title":"Rank franchise locations by outlet count","prompt":"I have 50 rows of franchise location data with company group names and monthly location counts — can you normalise the group name strings and order the rows by location_count so I can see which groups are growing fastest?"},{"title":"Audit verified location data quality","prompt":"Run string normalisation and numeric row ordering on my verified_locations data for these 80 company records dated from 2026-01-01 to 2026-03-31 — I need both reports to check data consistency across groups."},{"title":"Prepare inventory snapshot for analysis","prompt":"Before I do any analysis, clean up my business location inventory records — normalise the company_group strings and rank all 120 rows by verified_locations, using today's snapshot data I'll paste in."}],"resultDescription":"Returns 2 analytical reports: (1) a string-normalised version of the supplied records' text fields (company_group), and (2) rows reordered numerically by the selected field (location_count or verified_locations). No external lookups or live data — all analysis is performed on the supplied rows only, up to 200 rows per call.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, company_group, date, location_count, verified_locations) cause validation errors","Date fields not matching YYYY-MM-DD pattern cause schema rejection","Null numeric values may affect ordering results","field enum value not matching 'location_count' or 'verified_locations' causes error"],"whenToPreferThis":"Choose this endpoint when you have business location inventory records (with location_count and verified_locations fields) that need both string normalisation on company group labels and numeric row ordering in a single call. It is ideal for lightweight, offline data cleaning and ranking tasks on batches up to 200 rows, where no live lookup, prediction, or external data enrichment is needed. Prefer alternatives if you need more than 200 rows, real-time data, or different analytical operations such as outlier detection or pivot tables.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:26.559Z","isFirstParty":false,"canonicalSlug":"business-location-inventories-string-normalisation-numeric-row-ordering-3864770d"}