{"uid":"cap_VzO_2gX5Tty8xFOFYHa8a","slug":"business-location-inventories-category-frequencies-base-100-series-68b5d186","name":"Business Location Inventories — Category Frequencies + Base-100 Series","description":"Business location inventories — Category frequencies + Base-100 series: Category frequencies + Base-100 series 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-05-105?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_akw8eOj4TsLQRCv4R25OV","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":"Analyzes up to 200 rows of business location inventory data to produce two reports: category frequency distributions and a base-100 indexed series for location_count or verified_locations.","exampleAgentPrompt":"Analyze my business location inventory data — here are 4 rows with company groups A and B, dates from 2026-10-01 to 2026-10-04, location counts of 10, 20, 15, 30, and verified locations of 1, 2, 3, 4 — give me the category frequencies and a base-100 series indexed to row 0 for the location_count field.","exampleUseCases":[{"title":"Franchise growth benchmarking","prompt":"I have weekly location counts and verified locations for three franchise groups across 52 weeks — can you compute category frequencies for how often each group appears and index the location_count to a base-100 series starting from week 1?"},{"title":"Retail chain expansion audit","prompt":"Here's a dataset of 150 store inventory records by company group and date — run category frequencies on the company_group column and give me a base-100 index series for verified_locations starting from the very first row."},{"title":"Multi-brand location trend report","prompt":"I'm tracking location_count for five brand groups over the past 6 months, up to 200 rows — can you show me how frequently each brand appears and normalize the location_count to a base-100 trend series anchored at row index 0?"}],"resultDescription":"Returns two analytical reports: (1) category frequency counts showing how often each company_group value appears in the supplied rows, and (2) a base-100 indexed series for the chosen numeric field (location_count or verified_locations) relative to a specified baseline row, covering all supplied rows up to 200.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format not matching YYYY-MM-DD pattern — validation error","base_index value out of range (0–199) — error returned","Missing required row fields (row_id, date, company_group) — schema validation failure","All null values for the selected numeric field — base-100 computation may fail or return nulls","Non-numeric values in location_count or verified_locations — type validation error"],"whenToPreferThis":"Choose this endpoint when you have pre-collected business location inventory data (up to 200 rows) and need two specific analytical outputs — category frequency distributions and a base-100 normalized index series — without requiring live data lookup, external enrichment, or prediction. It is particularly well-suited when you want both reports in a single low-cost call and are working with company-grouped, date-stamped location or verified-location metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:02.880Z","isFirstParty":false,"canonicalSlug":"business-location-inventories-category-frequencies-base-100-series-68b5d186"}