{"uid":"cap_TLz3rx7RNuwLlJv-rYqc1","slug":"land-parcel-observations-category-frequencies-base-100-series-e826303a","name":"Land Parcel Observations — Category Frequencies + Base-100 Series","description":"Land parcel observations — Category frequencies + Base-100 series: Category frequencies + Base-100 series 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-14-105?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_KYfvrRle1Z-K-Pz-3c58X","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 category frequency distributions and base-100 index series for user-supplied land parcel observation records (area and perimeter fields).","exampleAgentPrompt":"Analyze these land parcel records for area_m2 — give me both the category frequency breakdown and a base-100 index series starting from row index 0: row-1 (2026-10-01, group-a, area=10, perimeter=1), row-2 (2026-10-02, group-b, area=20, perimeter=2), row-3 (2026-10-03, group-a, area=15, perimeter=3).","exampleUseCases":[{"title":"Parcel size distribution audit","prompt":"I have survey data for 50 land parcels across two station groups — can you run a category frequency analysis on the area_m2 values and also give me a base-100 index series starting from row 0?"},{"title":"Perimeter trend indexing across sites","prompt":"Take these 80 land parcel records and compute a base-100 index series for perimeter_m starting from row index 5, plus show me how the perimeter categories are distributed across my groups."},{"title":"Baseline comparison of parcel measurements","prompt":"Here are my parcel observations for the last quarter across groups alpha and beta — run the category frequency and base-100 series reports on area_m2 with baseline at row 0 so I can compare how plot sizes shifted over time."}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often different value ranges or categories appear in the selected field (area_m2 or perimeter_m) across the supplied rows, and (2) a base-100 index series anchored to the specified row, showing relative changes across the dataset. Up to 200 rows processed per call.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, station_group, date, area_m2, perimeter_m) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","base_index out of range (0–199) relative to actual row count causes an error","Null values in area_m2 or perimeter_m may affect index calculations","Payment not attached or insufficient USDC causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have tabular land parcel observation data (up to 200 rows) and need both a category frequency distribution and a base-100 normalized index series computed locally — without any live data lookup, external enrichment, or professional assessment. It is ideal for quick offline statistical summaries of surveying or GIS datasets where you control the input and just need two standard analytical reports for a flat $0.01 USDC fee.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:41:22.318Z","isFirstParty":false,"canonicalSlug":"land-parcel-observations-category-frequencies-base-100-series-e826303a"}