{"uid":"cap_3xb2p3BupIT2yjreGDU_1","slug":"land-parcel-observations-string-normalisation-grouped-numeric-summary-77d32d6d","name":"Land Parcel Observations — String Normalisation + Grouped Numeric Summary","description":"Land parcel observations — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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-14-023?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_IJjV-cSZTm_cePGULvdJy","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 produces grouped numeric summaries for land parcel observation records containing area and perimeter measurements, across up to 200 rows.","exampleAgentPrompt":"I have up to 200 land parcel observation records with area_m2 and perimeter_m fields grouped by station_group — can you run string normalisation on the group labels and produce a grouped numeric summary for the area_m2 field across all rows?","exampleUseCases":[{"title":"Parcel area statistics by survey group","prompt":"I've got 150 land parcel records each tagged with a station_group, a date, and measurements for area_m2 and perimeter_m. Can you normalise the station_group strings and give me a grouped numeric summary of the area_m2 values across each group?"},{"title":"Perimeter data quality and grouping report","prompt":"Run string normalisation and a grouped numeric summary on my parcel observation dataset — I want to focus on the perimeter_m field this time. There are about 80 rows, each with a row_id, date, area_m2, perimeter_m, and station_group."},{"title":"Multi-group land parcel batch analysis","prompt":"I need two analytical reports on my land parcel observations: normalise the station_group text fields and compute grouped numeric summaries for area_m2 across groups like 'group-a' and 'group-b'. I have around 200 rows with dates ranging through late 2026."}],"resultDescription":"Returns two reports per call: (1) a string normalisation report that cleans and standardises the station_group and other string fields across all submitted rows, and (2) a grouped numeric summary that aggregates the selected numeric field (area_m2 or perimeter_m) by station_group, providing descriptive statistics per group. No external data is fetched; all analysis is performed locally on the supplied rows.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, station_group, date, area_m2, perimeter_m) causes row rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","Numeric values outside ±1,000,000,000,000 are rejected by schema bounds","Empty rows array (minItems:1 not met) returns an input validation error","Selecting a field not in enum ['area_m2','perimeter_m'] returns an invalid field error"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 land parcel observation records and need both string normalisation of categorical/group labels and grouped descriptive statistics for area or perimeter measurements in a single low-cost call ($0.01 USDC). It is best suited for offline, supplied-data analytics where no live geospatial lookup, prediction, or external data enrichment is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:17:42.689Z","isFirstParty":false,"canonicalSlug":"land-parcel-observations-string-normalisation-grouped-numeric-summary-77d32d6d"}