{"uid":"cap_PDhmnSqdLApElr4IidC4k","slug":"brand-mention-inventories-grouped-numeric-summary-date-by-category-cbfdf8b3","name":"Brand Mention Inventories — Grouped Numeric Summary & Date-by-Category Pivot","description":"Brand mention inventories — Grouped numeric summary + Date by category pivot: Grouped numeric summary + 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-18-097?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_ibkBZ3rgNqTmFoJsyTUG5","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":"Produces two local analytical reports from supplied brand mention inventory rows: a grouped numeric summary and a date-by-category pivot table for mention_count or source_count.","exampleAgentPrompt":"I have brand mention inventory records for groups 'Acme' and 'Globex' across October 2026 — can you give me both a grouped numeric summary and a date-by-category pivot of the mention_count field for these rows?","exampleUseCases":[{"title":"Monthly brand performance summary by group","prompt":"Here are 150 rows of brand mention data for Q3 — each row has a company_group, date, mention_count, and source_count. Can you run a grouped numeric summary and a date-by-category pivot on mention_count so I can see which groups are trending?"},{"title":"Competitive source coverage pivot by date","prompt":"I've got brand monitoring records for four competitor groups across the past 30 days. Can you pivot the source_count by date and company_group, and also give me a grouped numeric summary, so I can spot which competitors are getting the widest media coverage on which days?"},{"title":"Campaign impact analysis across brand mentions","prompt":"We ran a campaign in October and I have daily mention_count and source_count records per brand group. Can you produce a grouped numeric summary plus a date-by-category pivot on mention_count for these rows so I can see the campaign's impact across each group?"}],"resultDescription":"Returns two analytical reports derived entirely from the supplied data: (1) a grouped numeric summary of the selected field (mention_count or source_count) broken down by company_group, and (2) a date-by-category pivot table crossing date against company_group for that field. Up to 200 input rows are supported per call. No external lookups or predictions are made.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors","Invalid date format (not YYYY-MM-DD) fails schema validation","Field value not in enum ['mention_count','source_count'] causes an error","Empty rows array rejected (minItems: 1)","Numeric values outside allowed range (-1e12 to 1e12) fail validation"],"whenToPreferThis":"Choose this endpoint when you have a batch of brand mention inventory records (up to 200 rows) and need both a grouped numeric summary and a date-by-category pivot in a single low-cost call ($0.01 USDC). It runs entirely on supplied data with no external lookups, making it reliable and deterministic. Prefer it over generic analytics tools when your data is already structured with company_group, date, mention_count, and source_count fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:17.739Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-grouped-numeric-summary-date-by-category-cbfdf8b3"}