{"uid":"cap_4NTGkrOuM69RKMntNh_Od","slug":"brand-mention-inventories-numeric-interval-filter-iqr-outlier-flags-391edf94","name":"Brand Mention Inventories — Numeric Interval Filter + IQR Outlier Flags","description":"Brand mention inventories — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags 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-18-130?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_U_fPB_CQFUrhkyCWPr3NB","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":"Applies a numeric interval filter and IQR-based outlier detection to user-supplied brand mention inventory records (mention_count, source_count), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a dataset of brand mention records with mention_count and source_count for several company groups — can you filter the mention_count field to only show rows between 5 and 150, and flag any IQR outliers? Here are up to 200 rows with row_id, company_group, and date fields included.","exampleUseCases":[{"title":"Outlier detection in PR campaign data","prompt":"I've got 80 rows of brand mention data from our Q4 PR campaign — each row has a row_id, company_group, date, mention_count, and source_count. Can you filter mention_count between 10 and 500 and flag any IQR outliers across all company groups?"},{"title":"Source count range filtering for competitor analysis","prompt":"Here are 150 brand mention inventory records for three competitor groups. Please filter on the source_count field, keeping only rows between 1 and 200, and flag any statistical outliers using IQR — I want two reports back."},{"title":"Data quality check on mention inventory before reporting","prompt":"Before I send this brand mention dataset to my manager, can you run an interval filter on mention_count from 0 to 1000 and IQR outlier flags on it? I have 60 rows with row_id, date, company_group, mention_count, and source_count."}],"resultDescription":"Two analytical reports: one showing rows that pass the specified numeric interval filter on the chosen field (mention_count or source_count), and one flagging rows identified as IQR outliers. Results are computed locally from the supplied data with no external lookups.","failureModes":["Missing required row fields (row_id, company_group, date, mention_count, source_count) causes validation errors","Exceeding 200 rows returns an error or truncation","Invalid date format (non-YYYY-MM-DD) fails schema validation","Minimum value greater than maximum value may produce empty filter results","Null numeric values in the target field may be excluded or cause partial report gaps"],"whenToPreferThis":"Choose this endpoint when you have up to 200 brand mention inventory records and need both a numeric range filter and IQR-based outlier detection in a single call, without any external data lookup or prediction. Ideal for pre-reporting data quality checks, anomaly detection in PR or marketing datasets, and batch statistical analysis of mention or source count time series.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:47:35.731Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-numeric-interval-filter-iqr-outlier-flags-391edf94"}