{"uid":"cap_aYdNmKfgQxs8lfq8jt8LN","slug":"brand-mention-inventories-record-quality-audit-string-normalisation-370c9405","name":"Brand Mention Inventories — Record Quality Audit + String Normalisation + Daily Sum Series","description":"Brand mention inventories — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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-18-198?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_QhzxcTHjJzw9aT-Bei-vU","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 (record quality audit, string normalisation, and daily sum series) on supplied brand mention inventory data (mention_count, source_count) for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and daily sum series on these brand mention records? I have up to 50 rows with mention_count and source_count fields, grouped by company, and I want to analyse mention_count specifically.","exampleUseCases":[{"title":"Pre-analysis data quality check","prompt":"I have a batch of brand mention records from last quarter — row IDs, company groups, dates, and mention counts — and before I do any analysis I want to audit them for quality issues, normalise the company group strings, and see the daily mention_count sums. Can you run all three reports on my 120 rows?"},{"title":"Monitoring source count daily trends","prompt":"Can you take my brand mention inventory data for October — about 80 rows with source_count and mention_count — and run the record quality audit, string normalisation, and daily sum series reports focused on source_count so I can see how many distinct sources we're being mentioned in each day?"},{"title":"Cleaning messy company group labels","prompt":"My brand mention dataset has inconsistent company group names that need normalising, and I also want a quality audit and daily aggregation on mention_count. There are 150 rows with dates, row IDs, and both count fields — can you run all three reports on them?"}],"resultDescription":"Three independent analytical reports delivered together: (1) a record quality audit flagging issues in the supplied rows, (2) a string normalisation report cleaning and standardising company_group values, and (3) a daily sum series aggregating the selected field (mention_count or source_count) by date across all supplied rows. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Exceeding 200 rows causes rejection — keep input to maxItems limit","Missing required fields (row_id, company_group, date, mention_count, source_count) causes validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Invalid field enum value (not mention_count or source_count) causes error","Empty rows array (minItems:1 not met) causes rejection","Numeric values outside ±1,000,000,000,000 range cause validation failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 brand mention inventory rows and need three bundled analytical reports — quality audit, string normalisation, and daily aggregation — in a single cost-efficient call ($0.01 USDC). It is ideal for pre-analysis data cleaning and validation workflows where no live data lookup, external enrichment, or prediction is needed. Prefer it over single-report alternatives when all three report types are required simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:17.390Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-record-quality-audit-string-normalisation-370c9405"}