{"uid":"cap_kz-CsNXQAaKMedhlF7380","slug":"land-parcel-observations-numeric-interval-filter-keyed-dataset-224a35c7","name":"Land Parcel Observations — Numeric Interval Filter + Keyed Dataset Comparison","description":"Land parcel observations — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison for supplied land parcel observations records (area_m2, perimeter_m). 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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a numeric interval filter and keyed dataset comparison to supplied land parcel observation records (area_m2, perimeter_m), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have two sets of land parcel records (up to 200 rows each) with area_m2 and perimeter_m values — can you run a numeric interval filter on area_m2 and also do a keyed dataset comparison between the two sets, grouped by station_group and date?","exampleUseCases":[{"title":"Parcel area range segmentation audit","prompt":"I've got 150 land parcel observations with area_m2 and perimeter_m values measured across two station groups over October 2026 — can you filter them by numeric intervals on area_m2 and tell me which parcels fall in each band?"},{"title":"Two-dataset parcel measurement comparison","prompt":"I have a baseline dataset and a revised dataset of land parcel records — both keyed by row_id, station_group, and date — can you compare them on area_m2 to show me which rows have changed between the two?"},{"title":"Perimeter outlier interval check","prompt":"Can you run a numeric interval filter on perimeter_m across my land parcel survey records and also compare them against a reference dataset to flag any parcels where the perimeter differs significantly?"}],"resultDescription":"Two analytical reports: (1) a numeric interval filter report segmenting the supplied rows by the chosen field (area_m2 or perimeter_m) into defined bands or ranges, and (2) a keyed dataset comparison report showing row-level differences between the primary and secondary (other) dataset, matched by row_id, station_group, and date. No external lookups or predictions are made; all analysis uses the supplied data only.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, station_group, date, area_m2, perimeter_m) causes schema rejection","Mismatched keys between rows and other dataset may produce empty comparison output","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Null numeric values may reduce interval filter coverage","Submitting fewer than 1 row causes a minItems schema error"],"whenToPreferThis":"Choose this endpoint when you have tabular land parcel observation data (up to 200 rows) with area_m2 and perimeter_m fields and need both a numeric interval/range filter and a keyed comparison against a second dataset in a single paid call. It is well-suited for batch analytical workflows where no live data, external lookup, or prediction is required — just local computation on supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:53:38.789Z","isFirstParty":false,"canonicalSlug":"land-parcel-observations-numeric-interval-filter-keyed-dataset-224a35c7"}