{"uid":"cap_gxoNcP5feBLDt44kdARnx","slug":"brand-mention-inventories-string-normalisation-grouped-numeric-summary-f35eb6a2","name":"Brand Mention Inventories — String Normalisation + Grouped Numeric Summary","description":"Brand mention inventories — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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-18-023?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_3lMXhkCgGE1sFqaupcaWC","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":"Normalises string fields and produces a grouped numeric summary (sum, mean, etc.) for brand mention inventory records containing mention_count and source_count, across up to 200 rows in two independent reports.","exampleAgentPrompt":"Can you normalise the company group names and give me a grouped numeric summary of mention_count for these brand mention records — I have about 50 rows covering groups like 'group-a' and 'group-b' across October 2026?","exampleUseCases":[{"title":"Monthly brand mention rollup by company","prompt":"I have 120 rows of brand mention data for October 2026 with company groups like 'Acme Corp' and 'Rival Inc' — can you normalise the company names and give me a grouped summary of mention_count so I can see which brand got the most mentions?"},{"title":"Source diversity analysis across groups","prompt":"For these 80 brand mention inventory records, normalise the string fields and produce a grouped numeric summary of source_count so I can understand how many distinct sources each company group appeared in during Q3 2026."},{"title":"Multi-group mention trend digest","prompt":"I've got 200 rows of brand mention inventory data split across five company groups — please normalise the group name strings and give me the grouped numeric summary for mention_count so I can compare them side by side."}],"resultDescription":"Two analytical reports: (1) string-normalised versions of the supplied brand mention records (cleaning company_group and other string fields), and (2) a grouped numeric summary of the selected measure (mention_count or source_count) aggregated by company_group, for up to 200 input rows.","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) triggers pattern validation failure","Numeric values outside ±1,000,000,000,000 boundary rejected","Empty rows array returns error","Invalid field enum value (not mention_count or source_count) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular brand mention inventory data (up to 200 rows) and need both string normalisation of company group labels and a grouped numeric summary of mention or source counts — all in one low-cost call ($0.01 USDC). It works entirely on supplied data with no external lookups, making it reliable and deterministic. Prefer it over general-purpose analytics when you specifically need the two-report format (normalised strings + grouped aggregates) for brand mention fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:45:01.069Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-string-normalisation-grouped-numeric-summary-f35eb6a2"}