{"uid":"cap_OTk5YAF5EIFNV5SzImvEz","slug":"brand-mention-inventories-record-quality-audit-string-normalisation-86a60a78","name":"Brand Mention Inventories — Record Quality Audit, String Normalisation & Weighted Mean","description":"Brand mention inventories — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean 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-18-205?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_K5Uvw6nU-2Gxr_M6Ei9S3","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 record quality, normalises strings, and computes secondary-measure weighted means for brand mention inventory data (mention_count, source_count) across up to 200 rows in three bundled analytical reports.","exampleAgentPrompt":"Can you audit and clean my brand mention inventory data — check record quality, normalise the company_group strings, and compute a source_count-weighted mean of mention_count? Here are my rows: [{\"row_id\":\"r1\",\"company_group\":\"Acme Corp\",\"date\":\"2025-01-15\",\"mention_count\":120,\"source_count\":5},{\"row_id\":\"r2\",\"company_group\":\"acme corp\",\"date\":\"2025-01-16\",\"mention_count\":95,\"source_count\":3}].","exampleUseCases":[{"title":"Monthly brand mention data cleanup","prompt":"I've got 80 rows of brand mention inventory data from last month with inconsistent company group names and some null values — can you run a record quality audit, normalise the company_group strings, and give me a weighted mean of mention_count using source_count as the weight?"},{"title":"Pre-dashboard data quality check","prompt":"Before I load this brand mention data into our dashboard, can you check all 150 records for quality issues, normalise the company names, and compute a source-count weighted average of mention counts so I know the data is clean?"},{"title":"Comparing brand visibility across groups","prompt":"I have mention data for three company groups over the past quarter — can you audit the records, normalise the group name strings so variants match, and calculate a weighted mean of mention_count weighted by source_count for the field 'mention_count'?"}],"resultDescription":"Three analytical reports covering: (1) a record quality audit flagging issues such as nulls, out-of-range values, and duplicate row IDs; (2) string normalisation results for company_group and other string fields; and (3) a secondary-measure weighted mean of the selected numeric field (mention_count or source_count) weighted by the other measure. All computed locally from supplied data, no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Row 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","field enum value not 'mention_count' or 'source_count' — rejected","All values for the selected numeric field are null — weighted mean cannot be computed","Payment not included or insufficient USDC — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of brand mention inventory data and need three bundled offline analytical operations — record quality auditing, string normalisation, and weighted mean computation — in a single low-cost call ($0.01 USDC). It is ideal when you do not need live data lookup, predictions, or external enrichment, and want fast, deterministic local analysis of existing mention_count and source_count data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:17.857Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-record-quality-audit-string-normalisation-86a60a78"}