{"uid":"cap_u0toKAVezdCNiVFrjGi7D","slug":"tree-canopy-observations-two-measure-correlation-keyed-dataset-0ddcce39","name":"Tree Canopy Observations — Two-Measure Correlation + Keyed Dataset Comparison","description":"Tree canopy observations — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison for supplied tree canopy observations records (canopy_m2, plot_m2). 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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Pearson correlation between canopy_m2 and plot_m2 measurements and performs a row-keyed comparison between two supplied tree canopy datasets, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have two batches of tree canopy survey records — each with row IDs, station groups, dates, canopy_m2, and plot_m2 — and I want to know both the correlation between canopy area and plot area in the primary batch, and a row-by-row comparison between the two batches.","exampleUseCases":[{"title":"Urban canopy coverage correlation analysis","prompt":"I've got 150 urban tree plot observations with canopy_m2 and plot_m2 values recorded by station group and date — can you run the correlation between canopy size and plot size and tell me how strongly they're related?"},{"title":"Before/after canopy survey comparison","prompt":"I have two rounds of tree canopy field measurements taken at the same plots — one from spring and one from summer — can you compare them row by row using the shared row IDs and also correlate canopy area against plot area in the primary batch?"},{"title":"Multi-site canopy dataset quality check","prompt":"We collected canopy observation data from two different field teams covering the same station groups and dates — can you cross-check the two datasets by row key and also compute the correlation between canopy_m2 and plot_m2 in our main dataset to validate consistency?"}],"resultDescription":"Returns two analytical reports: (1) a Pearson correlation report between canopy_m2 and plot_m2 for the primary dataset rows, and (2) a keyed comparison report matching rows from the primary and secondary datasets by row_id, highlighting agreements and discrepancies in canopy_m2 and plot_m2 values. Covers up to 200 rows. No external data is fetched; all analysis is performed on supplied data.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows in either array exceeds the limit and is rejected","Missing required fields (row_id, date, canopy_m2, plot_m2, station_group) cause row-level validation failure","Malformed date strings not matching YYYY-MM-DD pattern are rejected","All-null numeric columns may produce undefined or NaN correlation result","Mismatched row_id keys between primary and secondary datasets result in unmatched rows flagged in comparison report"],"whenToPreferThis":"Choose this endpoint when you have two structured tree canopy observation datasets and need both a statistical correlation between canopy area and plot area AND a row-keyed cross-dataset comparison in a single call. It is purpose-built for forestry and environmental survey data with the specific canopy_m2 and plot_m2 schema. Prefer this over generic stats APIs when your data already conforms to the tree canopy observation schema and you need both reports bundled for $0.01 USDC without any external lookup or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:11.386Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-two-measure-correlation-keyed-dataset-0ddcce39"}