{"uid":"cap_Rdxaa8nMYGblViVN6G0Kn","slug":"brand-mention-inventories-record-quality-audit-exact-row-704cac5a","name":"Brand Mention Inventories — Record Quality Audit, Exact Row Deduplication & Category Frequencies","description":"Brand mention inventories — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies for supplied brand mention inventories records (mention_count, source_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-18-212?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}}},"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_zz8c8ma48rEBOcd6CEo7n","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 up to 200 brand mention inventory rows to produce three local analytical reports: a record quality audit, exact row deduplication, and category frequency breakdown by company group.","exampleAgentPrompt":"Can you run a quality audit, deduplicate exact rows, and give me category frequencies for these brand mention records? I have 4 rows with company groups 'group-a' and 'group-b', mention counts, and source counts per day from 2026-10-01 to 2026-10-04.","exampleUseCases":[{"title":"Pre-dashboard brand data cleanup","prompt":"I'm about to load brand mention data into our dashboard but I want to clean it first — can you audit the record quality, remove exact duplicate rows, and show me how mentions break down by company group? Here are my 50 rows with row_id, date, company_group, mention_count, and source_count."},{"title":"Multi-brand competitive mention audit","prompt":"We're tracking brand mentions across three competitor groups and I need to know if there are any bad records or duplicates before our weekly report. Run a quality audit, exact deduplication, and category frequency breakdown on these 120 brand mention inventory rows."},{"title":"Marketing team data validation check","prompt":"My marketing team gave me a CSV export of brand mentions with mention_count and source_count per company group and date — can you check the data quality, flag any exact duplicate rows, and tell me the frequency distribution across our category groups? There are about 80 rows total."}],"resultDescription":"Returns three independent reports for the submitted brand mention rows: (1) a record quality audit flagging missing, malformed, or out-of-range values in fields like mention_count and source_count; (2) an exact row deduplication report identifying and grouping identical records; and (3) a category frequency table showing how records and mention/source counts are distributed across company_group values.","failureModes":["Fewer than 1 row submitted — returns validation error","More than 200 rows submitted — exceeds row limit, request rejected","Missing required fields (row_id, company_group, date, mention_count, source_count) — row-level validation failure","Invalid date format not matching YYYY-MM-DD pattern — schema validation error","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Empty or blank row_id — minLength constraint violation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 brand mention inventory records and need all three of a quality audit, deduplication check, and category frequency summary in a single low-cost call. It is ideal for pre-processing brand monitoring exports before downstream analysis or dashboarding, especially when you want local analytical results without any live data lookup or external enrichment. It is not suitable for large datasets over 200 rows, real-time mention tracking, or predictive analytics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:54.559Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-record-quality-audit-exact-row-704cac5a"}