{"uid":"cap_cREwMyYqpaU--jCDdams7","slug":"brand-mention-inventories-numeric-row-ordering-keyed-dataset-comparison-5cc19b61","name":"Brand Mention Inventories — Numeric Row Ordering + Keyed Dataset Comparison","description":"Brand mention inventories — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + 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 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brand mention inventory rows numerically and compares two brand mention datasets by key, covering mention_count and source_count fields for up to 200 rows per report.","exampleAgentPrompt":"I have two sets of brand mention data — both with up to 50 rows each containing row_id, company_group, date, mention_count, and source_count — can you rank each dataset's rows numerically by mention_count and also compare the two datasets side by side by row_id?","exampleUseCases":[{"title":"Weekly brand mention ranking","prompt":"Here are 80 rows of our brand mention inventory from last week, each with a row_id, company_group, date, mention_count, and source_count — rank them all numerically by mention_count so I can see which entries performed best."},{"title":"Competitor mention dataset comparison","prompt":"I have two brand mention datasets — one for our brand and one for our main competitor, both with row_id, company_group, date, mention_count, and source_count — compare them side by side by row_id using source_count as the comparison field."},{"title":"Monthly source coverage audit","prompt":"Can you take my 120-row brand mention inventory and produce a numeric ordering by source_count, then compare it against last month's dataset using the same rows and fields to see where coverage changed?"}],"resultDescription":"Returns two independent analytical reports: (1) a numerically ordered ranking of the input rows by the selected field (mention_count or source_count), and (2) a keyed comparison between the primary and secondary dataset rows, highlighting differences per row_id — all computed locally with no external lookups.","failureModes":["Input array is empty or missing required fields (row_id, company_group, date, mention_count, source_count) — returns validation error","More than 200 rows submitted — request rejected with row limit error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric field values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected","Missing 'other' comparison dataset when comparison report is needed — may return incomplete results","Invalid field enum value (not mention_count or source_count) — schema error"],"whenToPreferThis":"Choose this endpoint when you have pre-collected brand mention inventory data (with mention_count and source_count fields) and need both a numeric row ranking and a keyed side-by-side comparison of two datasets in a single $0.01 call — particularly when no live data lookup, real-time scraping, or external enrichment is needed and you want purely local, deterministic analytical computation on up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:19.659Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-numeric-row-ordering-keyed-dataset-comparison-5cc19b61"}