{"uid":"cap_AZf8GI3gM2-4Tu2vV-ADB","slug":"brand-mention-inventories-numeric-distribution-date-by-category-pivot-b1e5adab","name":"Brand Mention Inventories — Numeric Distribution + Date by Category Pivot","description":"Brand mention inventories — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot 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-18-083?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_qLffWluaeKfgYZAVY6HGS","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 supplied brand mention inventory records by producing a numeric distribution report and a date-by-category pivot for mention_count or source_count fields, across up to 200 rows.","exampleAgentPrompt":"I have brand mention inventory records for two company groups — group-a and group-b — with daily mention_count and source_count from October 2026. Can you run a numeric distribution and a date-by-category pivot on the mention_count field for these rows?","exampleUseCases":[{"title":"Brand share analysis across competitors","prompt":"I've got brand mention data for three competitor groups across Q4 — rows with row_id, company_group, date, mention_count, and source_count. Can you give me a numeric distribution and a date-by-category pivot on mention_count so I can see how brand attention is spread?"},{"title":"Source coverage audit by media category","prompt":"I need to audit how many sources covered each brand group over the last month. Here are my inventory rows with source_count and company_group by date — run a numeric distribution and date pivot on the source_count field, up to 200 rows."},{"title":"Monthly brand mention trend reporting","prompt":"I'm preparing a monthly brand report. I have up to 150 rows of brand mention records with dates, company groups, and mention counts. Please produce a numeric distribution and a date-by-category pivot on mention_count so I can spot trends by group."}],"resultDescription":"Returns two analytical reports based on the supplied rows: (1) a numeric distribution of the selected field (mention_count or source_count) showing spread, frequency, and statistical properties; and (2) a date-by-category pivot breaking down values by date and company_group. Both reports are computed locally on the submitted data with no external lookups.","failureModes":["Fewer than 1 row submitted — minimum input requirement not met","More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, company_group, date, mention_count, source_count) on any row","Date field does not match YYYY-MM-DD pattern — validation error","Invalid field enum value (must be mention_count or source_count)","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Payment of 0.01 USDC not fulfilled — x402 payment required"],"whenToPreferThis":"Choose this endpoint when you have pre-collected brand mention inventory data (up to 200 rows) and need both a numeric distribution and a date-by-category pivot in a single low-cost call. It is ideal for offline or batch analytical reporting where no live data lookup or prediction is needed. Prefer this over general BI tools when you want a lightweight, pay-per-use analytical computation on structured brand mention records without setting up infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:30.227Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-numeric-distribution-date-by-category-pivot-b1e5adab"}