{"uid":"cap_aIqsC24ioasOAl8wCSVe3","slug":"business-location-inventories-base-100-series-date-by-category-pivot-e0c73218","name":"Business Location Inventories — Base-100 Series + Date by Category Pivot","description":"Business location inventories — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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-05-167?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_34Vd7cpJID34rNCTbc8GJ","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":"Runs two analytical reports on supplied business location inventory data: a Base-100 index series and a date-by-category pivot, for up to 200 rows.","exampleAgentPrompt":"Take my business location inventory records — 4 rows for group-a and group-b from Oct 1–4 2026 with location_count values of 10, 20, 15, 30 — and run both a Base-100 index series anchored at row 0 and a date-by-category pivot on the location_count field.","exampleUseCases":[{"title":"Retail chain expansion trend analysis","prompt":"I have monthly location_count and verified_locations data for 3 retail chains over the past year — up to 150 rows. Can you rebase the location_count to a Base-100 index starting from the first row and also give me a pivot of counts by date and chain name?"},{"title":"Franchise growth comparison across groups","prompt":"Here are my franchise inventory records for group-a and group-b across 60 dates. Run a Base-100 series on verified_locations starting at index 0 and a date-by-category pivot so I can compare how each group grew over time."},{"title":"Multi-region business location benchmarking","prompt":"I've got 200 rows of business location data across 5 company groups with dates and location counts. Index the location_count field to base 100 from row 0 and give me a date-category breakdown pivot for all groups."}],"resultDescription":"Returns two analytical reports: (1) a Base-100 index series showing each row's selected metric (location_count or verified_locations) rebased relative to the chosen baseline row, and (2) a date-by-category pivot table summarizing the selected metric across company groups and dates. Both reports are computed locally from the supplied input rows (up to 200).","failureModes":["Missing required row fields (row_id, date, company_group) returns a validation error","Date strings not matching YYYY-MM-DD pattern are rejected","More than 200 rows supplied exceeds the maxItems limit and is rejected","base_index value out of range (0–199) or referencing a non-existent row causes an error","Null values in location_count or verified_locations may produce gaps in index series","Payment of 0.01 USDC not included or declined results in 402 response"],"whenToPreferThis":"Choose this endpoint when you have tabular business location inventory data (up to 200 rows) with company groups and dates, and need both a Base-100 normalized trend series and a date-by-category pivot in a single low-cost call. Ideal for offline/batch analytics on pre-collected data where no live lookup or external enrichment is needed. Not suitable for real-time data fetching, predictions, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:26.315Z","isFirstParty":false,"canonicalSlug":"business-location-inventories-base-100-series-date-by-category-pivot-e0c73218"}