{"uid":"cap_qiwSfYXbelfMHiL20BiPo","slug":"brand-mention-inventories-record-quality-audit-exact-row-cab3b3f4","name":"Brand Mention Inventories — Record Quality Audit + Exact Row Deduplication + Adjacent Row Changes","description":"Brand mention inventories — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes 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-18-217?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_ORpkqbMurbNq40W7oAiXH","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 on brand mention inventory data: a record quality audit, exact row deduplication, and adjacent row change detection — for up to 200 rows of mention_count or source_count data.","exampleAgentPrompt":"Can you run a record quality audit, exact row deduplication, and adjacent row change detection on my brand mention inventory data? I have rows with fields like row_id, company_group, date, mention_count, and source_count — up to 200 rows — and I want to analyze the mention_count field.","exampleUseCases":[{"title":"Deduplication check before reporting","prompt":"I'm about to compile our monthly brand mention report but I think there are duplicate entries in the dataset. Can you run the exact row deduplication and record quality audit on these brand mention records — the data has row_id, company_group, date, and mention_count columns — and tell me which rows are duplicates?"},{"title":"Adjacent change detection for anomaly spotting","prompt":"I want to see where our brand mention counts jump significantly between consecutive dates. Can you run the adjacent row changes report on this brand mention inventory dataset with mention_count as the field to analyze?"},{"title":"Data quality audit before pipeline ingestion","prompt":"Before I feed this brand mention inventory data into our analytics pipeline, can you run all three quality checks — record quality audit, deduplication, and adjacent row changes — on this set of up to 150 rows with company_group, date, and source_count fields?"}],"resultDescription":"Returns three independent analytical reports derived locally from the submitted data: (1) a record quality audit flagging malformed or missing values, (2) an exact row deduplication report identifying identical records, and (3) an adjacent row changes report showing how mention_count or source_count shifts between consecutive rows. No external lookups or predictions are made.","failureModes":["Submitting more than 200 rows returns an error or truncated results","Missing required fields (row_id, company_group, date, mention_count, source_count) causes schema validation failure","Invalid date format (not YYYY-MM-DD) triggers pattern validation error","Selecting an invalid field enum value other than 'mention_count' or 'source_count' causes rejection","Payment of 0.01 USDC via x402 must succeed before processing begins"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous data quality checks — quality audit, deduplication, and adjacent row change detection — on brand mention inventory data (mention_count or source_count) for up to 200 rows at minimal cost ($0.01 USDC). Prefer it over general-purpose analytics when your data conforms to the brand mention schema (row_id, company_group, date, mention_count, source_count) and you want all three reports in a single call without external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:54.830Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-record-quality-audit-exact-row-cab3b3f4"}