{"uid":"cap_NOs14ZueJeenAVXj_WSl7","slug":"brand-mention-inventories-numeric-interval-filter-keyed-dataset-341250e7","name":"Brand Mention Inventories — Numeric Interval Filter + Keyed Dataset Comparison","description":"Brand mention inventories — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison 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-18-134?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"mention_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_count":1,"company_group":"group-a","mention_count":10},{"date":"2026-10-02","row_id":"row-2","source_count":2,"company_group":"group-b","mention_count":20},{"date":"2026-10-03","row_id":"row-3","source_count":3,"company_group":"group-a","mention_count":15},{"date":"2026-10-04","row_id":"row-4","source_count":4,"company_group":"group-b","mention_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["mention_count","source_count"],"type":"string","default":"mention_count"},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","mention_count","source_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","source_count":3,"company_group":"group-a","mention_count":17},{"date":"2026-10-04","row_id":"row-4","source_count":4,"company_group":"group-b","mention_count":33}],"maxItems":200,"minItems":0},"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_K6tM6wXsFeEGIuOk1t6hy","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 numeric interval filtering and keyed dataset comparison to two supplied brand mention inventory datasets (mention_count, source_count) for up to 200 rows each, producing 2 independent analytical reports.","exampleAgentPrompt":"I have two sets of brand mention records for group-a and group-b from October 2026 — the first dataset has mention_count and source_count per row, and so does the second. Can you run a numeric interval filter on mention_count and compare the two datasets by company_group key, giving me 2 reports covering all rows?","exampleUseCases":[{"title":"Competitive brand mention comparison","prompt":"I have two brand mention inventory datasets — one for our brand and one for our competitor, each with up to 150 rows covering mention_count and source_count by date and company group. Filter mention_count by numeric interval and compare the two datasets by company_group key so I can see where our competitor outperforms us."},{"title":"Monthly source count interval analysis","prompt":"Here are two months of brand mention records with source_count and mention_count fields. Run a numeric interval filter on source_count and compare the two monthly datasets by row key — I need 2 separate reports to see how our media coverage range changed month over month."},{"title":"Multi-group mention range segmentation","prompt":"I've got two brand mention inventory snapshots for group-a and group-b, each with about 80 rows. Can you filter the mention_count values by numeric interval and do a keyed comparison between the two snapshots so I can identify which groups consistently fall within the same mention range?"}],"resultDescription":"Returns 2 independent analytical reports: one applying a numeric interval filter to the specified field (mention_count or source_count) across the primary dataset, and one performing a keyed dataset comparison between the primary and secondary datasets, both covering up to 200 rows and computed using local analytical engines with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, company_group, date, mention_count, source_count) on any row causes validation failure","Invalid date format (must be YYYY-MM-DD) causes schema rejection","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) will fail validation","Empty rows array (minItems:1 not met) causes error","Invalid field enum value (must be mention_count or source_count) causes rejection","Payment of 0.01 USDC not provided causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have two pre-collected brand mention inventory datasets (up to 200 rows each) and need both a numeric interval filter report and a keyed comparison report in a single low-cost call. It is ideal for offline/batch analytical tasks on supplied data where no live data fetching, prediction, or external enrichment is required. Prefer it over general analytics tools when working specifically with mention_count and source_count fields organized by company_group and date.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:57.845Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-numeric-interval-filter-keyed-dataset-341250e7"}