{"uid":"cap_yLYqwWdAEzP0LHyypQidp","slug":"brand-mention-inventories-record-quality-audit-string-normalisation-b318fbe5","name":"Brand Mention Inventories — Record Quality Audit, String Normalisation & Date-by-Category Pivot","description":"Brand mention inventories — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot 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-18-206?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_dx6TA0u3YfDyigbPH8Rc2","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":"Runs three analytical reports on supplied brand mention inventory rows: a record quality audit, string normalisation, and a date-by-category pivot for mention_count or source_count fields.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and date-by-category pivot on these brand mention records I'm supplying — up to 200 rows with mention_count as the key field, grouped by company_group and date?","exampleUseCases":[{"title":"Pre-analysis brand mention data cleanup","prompt":"I have a batch of up to 150 brand mention inventory rows with company_group, date, mention_count, and source_count — can you run the record quality audit and string normalisation on them so I can find any dirty or inconsistent entries before I start my analysis?"},{"title":"Date-by-category pivot for monthly reporting","prompt":"I need a pivot table showing mention_count broken down by date and company_group for these brand mention records I'm providing — can you generate that date-by-category pivot report?"},{"title":"Identifying data issues across source count fields","prompt":"Can you audit these brand mention rows for record quality issues specifically in the source_count field, and normalise any inconsistent company_group strings at the same time?"}],"resultDescription":"Returns three independent analytical reports for the supplied brand mention inventory rows (up to 200): (1) a record quality audit flagging data issues, (2) a string normalisation report for company_group and related text fields, and (3) a date-by-category pivot table for the selected numeric field (mention_count or source_count) grouped by company_group and date. All processing is local with no external lookups or predictions.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, company_group, date, mention_count, source_count) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejection","Invalid field enum value (not mention_count or source_count) — error response","Empty rows array — minimum items constraint violation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 brand mention inventory rows and need three bundled analytical operations — data quality auditing, string normalisation, and a date-by-category pivot — in a single low-cost call ($0.01 USDC). It is ideal for offline/batch data preparation steps before feeding brand mention data into dashboards or reporting pipelines, and when no live lookup, prediction, or external enrichment is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:18.556Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-record-quality-audit-string-normalisation-b318fbe5"}