{"uid":"cap_b9jLoF-xmL3CT0oBvxhRr","slug":"brand-mention-inventories-category-frequencies-numeric-interval-filter-63b54e79","name":"Brand Mention Inventories — Category Frequencies + Numeric Interval Filter","description":"Brand mention inventories — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter for supplied brand mention inventories records (mention_count, source_count). 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-18-101?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","mention_count","source_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"mention_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_count":1,"company_group":"group-a","mention_count":10},{"date":"2026-10-02","row_id":"row-2","source_count":2,"company_group":"group-b","mention_count":20},{"date":"2026-10-03","row_id":"row-3","source_count":3,"company_group":"group-a","mention_count":15},{"date":"2026-10-04","row_id":"row-4","source_count":4,"company_group":"group-b","mention_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["mention_count","source_count"],"type":"string","default":"mention_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_Ee4tei9OIV2stK3WVNg1Q","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":"Computes category frequency distributions and applies a numeric interval filter on user-supplied brand mention inventory records (mention_count, source_count), returning two local analytical reports for up to 200 rows.","exampleAgentPrompt":"I have brand mention data for two company groups — group-a and group-b — with dates and mention_count values; can you run category frequency analysis on it and also filter to only show rows where mention_count is between 10 and 50?","exampleUseCases":[{"title":"PR team comparing brand mentions by group","prompt":"I've got brand mention inventory rows for our three company groups over the past quarter — can you break down the category frequencies and filter the mention_count field to only rows between 5 and 100?"},{"title":"Marketing analyst filtering low-volume sources","prompt":"Here's my brand mention dataset with source_count values — run category frequencies on the company_group column and filter out any rows where source_count is below 2 or above 30."},{"title":"Competitive intelligence digest by brand","prompt":"I need to analyze brand mention inventory data across group-a and group-b: give me the frequency distribution by company group and filter the mention_count field to values between 0 and 25 — up to 200 rows."}],"resultDescription":"Two analytical reports: (1) a category frequency table showing how often each company_group value appears in the supplied rows, and (2) a filtered subset of rows where the selected numeric field (mention_count or source_count) falls within the specified minimum–maximum interval. No external data is fetched; all computation is local.","failureModes":["Empty or missing rows array returns an error","rows exceeding 200 items are rejected (maxItems constraint)","invalid date format (not YYYY-MM-DD) causes schema validation failure","minimum greater than maximum produces an empty interval filter result","null numeric values in the selected field may be excluded from interval filtering","missing required fields (row_id, company_group, date) cause row-level rejection"],"whenToPreferThis":"Choose this endpoint when you already have brand mention inventory data in hand and need two quick local analytical reports — category frequency counts and a numeric interval filter — without making any external API calls or predictions. Ideal for lightweight, offline-style analysis of up to 200 rows of mention or source count data at low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:37.577Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-category-frequencies-numeric-interval-filter-63b54e79"}