{"uid":"cap_05j3JjXCYiP77Hmwfxj6X","slug":"brand-mention-inventories-record-quality-audit-two-measure-correlation-a7146000","name":"Brand Mention Inventories — Record Quality Audit + Two-Measure Correlation","description":"Brand mention inventories — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation 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-18-015?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_lMegV9XVEn20d1Evl6Rsh","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":"Audits data quality and computes Pearson/Spearman correlation between mention_count and source_count for up to 200 brand mention inventory rows, returning two analytical reports.","exampleAgentPrompt":"Can you audit the data quality and check the correlation between mention_count and source_count for my brand mention records? I have rows for group-a and group-b covering October 2026 — here are up to 200 rows with row_id, company_group, date, mention_count, and source_count.","exampleUseCases":[{"title":"Brand data quality check before reporting","prompt":"Before I send this brand mention report to my client, can you audit these 150 rows of mention and source count data for group-a and group-b — flag any bad records and tell me if mention_count and source_count are correlated?"},{"title":"Comparing two brands' mention tracking consistency","prompt":"I have brand mention inventory data for two company groups covering Q3 2026, about 80 rows total. Can you run a record quality audit and tell me how correlated the mention counts are with the source counts across both groups?"},{"title":"Validating scraped brand mention data pipeline","prompt":"We just scraped a new batch of brand mentions — 200 rows with mention_count and source_count per day per group. Can you check the data quality and compute the correlation between those two measures so I know if the pipeline is working correctly?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit flagging missing values, out-of-range entries, and data completeness issues across all submitted rows; (2) a two-measure correlation report computing the statistical relationship between mention_count and source_count across the dataset. No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds row limit","Missing required fields (row_id, company_group, date, mention_count, source_count) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (-1e12 to 1e12) — rejected","All values null for a measure — correlation cannot be computed","Payment of 0.01 USDC not provided — request blocked"],"whenToPreferThis":"Choose this endpoint when you have tabular brand mention inventory data (up to 200 rows) with mention_count and source_count fields and need both a data quality audit and a statistical correlation between those two measures in a single call. It is ideal for pre-reporting validation, pipeline QA, or exploratory analysis of brand monitoring datasets. It does not perform live lookups, predictions, or external enrichment — prefer it when you already have the data and need offline analytical summaries.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:12.530Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-record-quality-audit-two-measure-correlation-a7146000"}