{"uid":"cap_rdd-HsfjufTcMMnu0EHG9","slug":"brand-mention-inventories-record-quality-audit-string-normalisation-cf7367eb","name":"Brand Mention Inventories — Record Quality Audit + String Normalisation + Numeric Distribution","description":"Brand mention inventories — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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-18-193?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_pYtk2YEVH9bDIdQKaPWCb","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 local analytical reports (record quality audit, string normalisation, and numeric distribution) on brand mention inventory data rows containing mention_count and source_count fields.","exampleAgentPrompt":"Can you run a full quality audit, string normalisation, and numeric distribution analysis on my brand mention inventory data — here are up to 200 rows with fields like row_id, company_group, date, mention_count, and source_count — and report on mention_count?","exampleUseCases":[{"title":"Brand data quality pre-flight check","prompt":"Before I load this brand mention dataset into our dashboard, can you audit the record quality, normalise the company_group strings, and show me the numeric distribution of mention_count? I have about 150 rows with row_id, company_group, date, mention_count, and source_count."},{"title":"Investigating source count distribution anomalies","prompt":"I want to understand the spread of source_count values across my brand mention inventory rows — can you run the record quality audit, string normalisation, and numeric distribution report using source_count as the target field? Here are my 80 rows."},{"title":"Cleaning multi-group brand mention export","prompt":"I exported brand mention data for two company groups over the past quarter — about 120 rows total — and I need you to flag any quality issues, normalise the group name strings, and give me a numeric distribution of mention_count so I can spot any outliers before I present it."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing values, malformed dates, or structural issues; (2) a string normalisation report standardising company_group and other string fields; and (3) a numeric distribution summary (min, max, mean, percentiles, etc.) for the selected numeric field (mention_count or source_count). All computed locally on the supplied rows with no external lookups.","failureModes":["Input array empty or exceeds 200 rows — request rejected","Required fields (row_id, company_group, date, mention_count, source_count) missing from row objects — validation error","date field not matching YYYY-MM-DD pattern — schema validation failure","numeric values outside allowed range (±1,000,000,000,000) — rejection","Invalid enum value for field parameter (must be mention_count or source_count) — error response","Payment of 0.01 USDC not received — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 brand mention inventory rows and need three bundled analytical reports — record quality audit, string normalisation, and numeric distribution — in a single low-cost call. It is best suited for pre-processing or QA pipelines where no external data enrichment, prediction, or live lookup is needed. Prefer it over separate single-report endpoints when all three report types are required simultaneously for the same dataset.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:48.952Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-record-quality-audit-string-normalisation-cf7367eb"}