{"uid":"cap_MqoZs6gXRNWiGcaOsk82o","slug":"brand-mention-inventories-numeric-distribution-keyed-dataset-comparison-0a038fce","name":"Brand Mention Inventories — Numeric Distribution + Keyed Dataset Comparison","description":"Brand mention inventories — Numeric distribution + Keyed dataset comparison: Numeric distribution + 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-18-084?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}}},"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_Djwh-Ehw1TioDOJvHzTpa","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":"Computes numeric distribution statistics and performs keyed row-by-row comparison between two supplied brand mention inventory datasets (mention_count, source_count) for up to 200 rows each.","exampleAgentPrompt":"Compare these two brand mention inventory datasets for mention_count — the first has 4 rows for group-a and group-b from October 2026, and the second is the same structure but with slightly different counts — give me a numeric distribution report and a keyed row-by-row comparison.","exampleUseCases":[{"title":"Competitor brand share shift analysis","prompt":"I have two brand mention datasets for our top competitors — one from last quarter and one from this quarter, each with mention_count and source_count by company group. Can you run a numeric distribution report and a keyed comparison on mention_count so I can see where the biggest shifts happened?"},{"title":"PR campaign impact measurement","prompt":"Before and after our press release, we tracked brand mentions across sources. Here are two datasets of up to 150 rows each with mention_count and source_count. Please compute the distribution stats and do a keyed dataset comparison on source_count to show us what changed."},{"title":"Multi-brand monitoring audit","prompt":"We need to audit our brand monitoring data quality — I have two exports from different tracking tools, both with mention_count and source_count for the same company groups and dates. Run a numeric distribution and a keyed comparison on mention_count so we can spot discrepancies."}],"resultDescription":"Two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram buckets) for the selected field (mention_count or source_count) across the primary dataset; (2) a keyed row-by-row comparison between the primary dataset and the secondary (other) dataset, highlighting differences per row_id for the selected field. All computation is local — no external lookups.","failureModes":["Rows array empty or missing — validation error","More than 200 rows submitted — rejected with max items error","Row missing required fields (row_id, company_group, date, mention_count, source_count) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern mismatch error","Numeric values outside allowed range (±1 trillion) — validation error","field enum value not 'mention_count' or 'source_count' — rejected","Mismatched row_ids between primary and other datasets — comparison may yield sparse results or nulls"],"whenToPreferThis":"Choose this endpoint when you have pre-collected brand mention inventory data in tabular form and need both a numeric distribution analysis and a keyed side-by-side comparison between two datasets in a single call. It is ideal for offline/batch analytical workflows where no live data lookup is needed, and when cost efficiency matters (both reports for $0.01 USDC). Prefer alternatives if you need live brand mention fetching, sentiment analysis, or more than 200 rows per dataset.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:56:47.079Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-numeric-distribution-keyed-dataset-comparison-0a038fce"}