{"uid":"cap_c5FW_abBgOLzoQgh_Fd_H","slug":"land-parcel-observations-numeric-row-ordering-keyed-dataset-comparison-94eefa23","name":"Land Parcel Observations — Numeric Row Ordering & Keyed Dataset Comparison","description":"Land parcel observations — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + 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-14-123?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_6UPV7Qc8T95lkCQTBisKa","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":"Ranks land parcel observation rows by a chosen numeric field and compares two datasets of land parcel records side-by-side, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have two sets of land parcel observation records — each with area_m2 and perimeter_m — and I want them ranked by area_m2 and also compared side by side row-by-row to spot any differences; can you run both reports at once for up to 200 rows?","exampleUseCases":[{"title":"Rank parcels by area for portfolio review","prompt":"I've got 150 land parcel records with area_m2 and perimeter_m measurements — can you rank them from smallest to largest by area_m2 so I can see which parcels are at the bottom of the portfolio?"},{"title":"Compare survey snapshots for data QA","prompt":"I have two snapshots of our land parcel survey data taken a month apart — same row IDs, same fields — can you compare them keyed by row_id and tell me which area_m2 or perimeter_m values changed between the two datasets?"},{"title":"Order parcel perimeters for fence cost estimation","prompt":"Here are 80 parcel observation rows with perimeter_m values; please sort them numerically by perimeter_m so I can prioritize which properties need the most fencing work first."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric row ordering report showing input parcel rows sorted by the selected field (area_m2 or perimeter_m), and (2) a keyed dataset comparison report showing row-by-row differences between the primary and secondary datasets matched by row_id. No external lookups or predictions are included.","failureModes":["More than 200 rows submitted — request rejected with row count exceeded error","Missing required fields (row_id, station_group, date, area_m2, perimeter_m) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field selector not one of the allowed enum values (area_m2, perimeter_m) — error","row_id exceeds 80 character limit — rejected","Mismatched row_ids between primary and comparison dataset — comparison report may show all rows as new/deleted","Payment not included or insufficient — 402 payment required"],"whenToPreferThis":"Choose this endpoint when you have local land parcel observation data (area_m2, perimeter_m) and need both a numeric ranking and a dataset diff in a single cheap call ($0.01 USDC). It is ideal for offline/batch analytical workflows where no live data lookup, external enrichment, or prediction is needed — just deterministic ordering and keyed comparison of up to 200 supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:38:24.704Z","isFirstParty":false,"canonicalSlug":"land-parcel-observations-numeric-row-ordering-keyed-dataset-comparison-94eefa23"}