{"uid":"cap_sOHL7tSqpDybvDBbbiL4G","slug":"land-parcel-observations-numeric-distribution-keyed-dataset-comparison-66484d99","name":"Land Parcel Observations — Numeric Distribution + Keyed Dataset Comparison","description":"Land parcel observations — Numeric distribution + Keyed dataset comparison: Numeric distribution + 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 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-weather-14-084?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","area_m2","perimeter_m"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"area_m2":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"perimeter_m":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","area_m2":10,"perimeter_m":1,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","area_m2":20,"perimeter_m":2,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","area_m2":15,"perimeter_m":3,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","area_m2":30,"perimeter_m":4,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["area_m2","perimeter_m"],"type":"string","default":"area_m2"},"other":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","area_m2","perimeter_m"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"area_m2":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"perimeter_m":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","area_m2":10,"perimeter_m":1,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","area_m2":21,"perimeter_m":2,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","area_m2":17,"perimeter_m":3,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","area_m2":33,"perimeter_m":4,"station_group":"group-b"}],"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_fw7pnGSB3zR67luaRXW24","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 a numeric distribution report and a keyed dataset comparison report for up to 200 land parcel records (area_m2, perimeter_m) using local analytical engines.","exampleAgentPrompt":"Can you run a numeric distribution and keyed dataset comparison on my two sets of land parcel records — use area_m2 as the target field — I've got up to 50 rows in each dataset identified by row_id, station_group, and date?","exampleUseCases":[{"title":"Parcel area distribution for survey batch","prompt":"I have 120 land parcel survey records with area_m2 and perimeter_m values. Can you run a numeric distribution report on the area_m2 field and also compare this batch against last quarter's parcel dataset using the row IDs?"},{"title":"Before-and-after rezoning parcel comparison","prompt":"We rezoned a set of parcels and I want to compare the before and after measurements. Run a keyed dataset comparison on both sets of records using area_m2, grouped by station_group and date."},{"title":"Perimeter spread analysis for environmental study","prompt":"Can you analyze the distribution of perimeter_m values across my 80 land parcel observation records and compare them to our reference dataset to highlight any statistical differences?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles, histogram buckets) for the selected field (area_m2 or perimeter_m), and (2) a keyed dataset comparison report that matches records by row_id across the two supplied datasets and reports differences in the numeric field values. All analysis is performed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, station_group, date, area_m2, perimeter_m) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Null values in target numeric field may reduce distribution accuracy","Mismatched row_ids between primary and comparison dataset reduce keyed comparison coverage","Payment not processed — endpoint returns 402 and no results"],"whenToPreferThis":"Choose this endpoint when you need both a statistical distribution analysis and a keyed row-by-row comparison between two land parcel datasets in a single call at low cost. It is ideal for surveying, GIS, real estate, or environmental workflows where you have structured parcel records with area and perimeter measurements and want to compare two snapshots without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:35:54.191Z","isFirstParty":false,"canonicalSlug":"land-parcel-observations-numeric-distribution-keyed-dataset-comparison-66484d99"}