{"uid":"cap_45hHjhf9QN3LeDrK5kTQO","slug":"land-parcel-observations-string-normalisation-secondary-measure-00155044","name":"Land Parcel Observations — String Normalisation + Secondary-Measure Weighted Mean","description":"Land parcel observations — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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-14-034?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"}}},"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_Fy-XnYxdqhskT5lm27y4_","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":"Normalises string fields and computes a secondary-measure weighted mean for up to 200 land parcel observation records (area_m2, perimeter_m), returning two analytical reports.","exampleAgentPrompt":"Can you normalise the station group strings and compute the secondary-measure weighted mean for area_m2 across these 4 land parcel records: row-1 on 2026-10-01 with area_m2=10, perimeter_m=1, group-a; row-2 on 2026-10-02 with area_m2=20, perimeter_m=2, group-b; row-3 on 2026-10-03 with area_m2=15, perimeter_m=3, group-a; row-4 on 2026-10-04 with area_m2=30, perimeter_m=4, group-b?","exampleUseCases":[{"title":"Parcel area weighted mean by survey group","prompt":"I have 50 land parcel records from our recent survey, each with an area in square metres, perimeter in metres, a station group name, and a date. Can you normalise the group name strings and compute the weighted mean of area_m2 using perimeter_m as the secondary measure?"},{"title":"Perimeter data quality cleanup for GIS pipeline","prompt":"Before we load this batch of 120 parcel observations into our GIS system, can you normalise the station group labels and calculate a secondary-measure weighted mean for perimeter_m weighted by area_m2 so we can flag any anomalies?"},{"title":"Comparing parcel sizes across monitoring stations","prompt":"We've collected daily parcel observations across two station groups over the past month — about 180 rows total. Can you run string normalisation on the group identifiers and give me the area_m2 weighted mean report so I can compare average parcel sizes between groups?"}],"resultDescription":"Two analytical reports: (1) string-normalised versions of the station_group and other string fields across the supplied rows, and (2) a secondary-measure weighted mean of the selected numeric field (area_m2 or perimeter_m), computed locally without any external lookup or live data. Results cover up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, station_group, date, area_m2, perimeter_m) — row rejected or error returned","Invalid date format not matching YYYY-MM-DD pattern — validation failure","Null values in numeric fields may be excluded from weighted mean calculation","Invalid enum value for 'field' parameter — schema validation error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a secondary-measure weighted mean computed together in a single call on land parcel observation data (area_m2, perimeter_m) with up to 200 rows, at low cost ($0.01 USDC for two reports). Prefer it over general-purpose analytics tools when working specifically with land parcel datasets and needing the paired string/numeric reports without any live data dependency or external service calls.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:35:39.641Z","isFirstParty":false,"canonicalSlug":"land-parcel-observations-string-normalisation-secondary-measure-00155044"}