{"uid":"cap_C4dGd0EzDAXlAMAgwU2Ck","slug":"brand-mention-inventories-category-frequencies-numeric-row-ordering-b5f141f6","name":"Brand Mention Inventories — Category Frequencies + Numeric Row Ordering","description":"Brand mention inventories — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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-18-100?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"}}},"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_UT4NbjjG70YHAnZTylBAx","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 brand mention inventory records to produce category frequency distributions and numerically ordered row rankings for mention_count or source_count fields, across up to 200 rows in two bundled reports.","exampleAgentPrompt":"I have a list of brand mention records with company groups, dates, mention counts, and source counts — can you run the category frequency breakdown and numeric row ordering reports on these 150 rows, using mention_count as the numeric field?","exampleUseCases":[{"title":"Brand share frequency audit","prompt":"I've got 120 rows of brand mention data with fields like company_group, date, mention_count, and source_count. Can you show me the frequency of each company group and rank the rows by mention_count?"},{"title":"Source coverage ranking for media team","prompt":"Run a category frequencies report and numeric ordering on my brand inventory — 80 rows covering several company groups — sorted by source_count so I can see which records have the widest source coverage."},{"title":"Weekly brand monitoring summary","prompt":"I have this week's brand mention inventory with 60 rows and multiple company groups. Give me a frequency breakdown of the company groups and order all the rows numerically by mention_count so I can spot the top entries."}],"resultDescription":"Two local analytical reports: (1) a category frequency table showing how often each company_group value appears across the submitted rows, and (2) a numerically ordered listing of all rows sorted by the chosen numeric field (mention_count or source_count). No external lookups or predictions are made; all computation is performed on the supplied data.","failureModes":["Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors","Submitting more than 200 rows exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) will fail pattern validation","Null numeric values for the selected field may affect ordering output","Empty rows array (minItems: 1 not met) will fail schema validation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pre-collected brand mention records and need two specific analytical outputs — category frequency counts by company group and numerically ordered rows by a numeric field — in a single low-cost call. It is ideal for offline/batch analytical summarization of brand monitoring inventories without needing live data fetching, prediction, or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:44:17.303Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-category-frequencies-numeric-row-ordering-b5f141f6"}