{"uid":"cap_VM9JWgCFzHPQc5DnliHZu","slug":"business-directory-coverage-two-measure-correlation-keyed-dataset-05df3b84","name":"Business Directory Coverage — Two-Measure Correlation + Keyed Dataset Comparison","description":"Business directory coverage — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison for supplied business directory coverage records (listed_entities, verified_entities). 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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two local analytical reports (Pearson/Spearman correlation between listed_entities and verified_entities, plus a keyed row-by-row dataset comparison) on supplied business directory coverage records, up to 200 rows per call.","exampleAgentPrompt":"I have two sets of business directory coverage records (up to 200 rows each, with listed_entities and verified_entities per company group and date) — can you run a correlation analysis between those two measures and also compare the two datasets row-by-row using the row_id as the key?","exampleUseCases":[{"title":"Verify listing-to-verification conversion rate","prompt":"I have 120 rows of business directory data by date and company group, each with a listed_entities count and a verified_entities count — can you run a correlation report to see how closely verification tracks listing volume across our groups?"},{"title":"Audit changes between two directory snapshots","prompt":"I exported our business directory coverage last month and again this week, both with the same row_id, company_group, date, listed_entities, and verified_entities fields — can you compare them side-by-side by row key and tell me which rows changed and by how much?"},{"title":"Cross-group correlation for QA reporting","prompt":"We have two company groups (group-a and group-b) with daily listed_entities and verified_entities figures for Q3 — can you compute the correlation between those two measures and also diff the two group datasets against each other keyed by row_id?"}],"resultDescription":"Returns two independent analytical reports: (1) a two-measure correlation report quantifying the statistical relationship between listed_entities and verified_entities across all supplied rows, and (2) a keyed dataset comparison report identifying matches, mismatches, and differences between the primary and comparison datasets aligned by row_id.","failureModes":["Missing required fields (row_id, date, listed_entities, verified_entities) causes validation error","Exceeding 200 rows triggers a rejection or truncation","Malformed date strings not matching YYYY-MM-DD pattern fail schema validation","Null values in both measures may reduce correlation reliability","Mismatched row_id keys between primary and comparison datasets result in unmatched rows in comparison report","Payment failure (insufficient USDC) blocks execution"],"whenToPreferThis":"Choose this endpoint when you have business directory coverage data with listed and verified entity counts and need both a statistical correlation between those two measures AND a structured row-level comparison between two dataset versions in a single $0.01 call. Ideal for QA pipelines, coverage audits, or periodic diff reporting on directory snapshots without any external data lookup.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:37.577Z","isFirstParty":false,"canonicalSlug":"business-directory-coverage-two-measure-correlation-keyed-dataset-05df3b84"}