{"uid":"cap_F270CTfmvTIrnqEcmdYtF","slug":"land-parcel-observations-record-quality-audit-numeric-row-ordering-5f863255","name":"Land Parcel Observations — Record Quality Audit + Numeric Row Ordering","description":"Land parcel observations — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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-14-007?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_XY6TKqVPnsIfwZcE8Yk8_","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":"Audits data quality and applies numeric row ordering to land parcel observation records (area_m2, perimeter_m) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and numeric row ordering on my land parcel dataset? I have up to 50 rows with area_m2 and perimeter_m values grouped by station_group, and I want to order by area_m2.","exampleUseCases":[{"title":"Pre-analysis parcel data validation","prompt":"I have a CSV of land parcel observations with area and perimeter measurements across several station groups — can you audit the record quality and flag any rows that look problematic before I run my GIS analysis?"},{"title":"Ranking parcels by area for prioritization","prompt":"I need to rank my 120 land parcel records numerically by area_m2 so I can prioritize the largest plots — can you run the numeric row ordering report on this dataset?"},{"title":"Data cleaning check for survey export","prompt":"We just exported 80 rows of parcel survey data with area_m2 and perimeter_m fields. Can you do a quality audit to catch duplicates, nulls, or out-of-range values, and also sort them by perimeter_m?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying data issues such as nulls, out-of-range values, or anomalies in the area_m2 and perimeter_m fields; and (2) a numeric row ordering report ranking all supplied rows by the selected field (area_m2 or perimeter_m). Both reports are generated locally from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, station_group, date, area_m2, perimeter_m) on any row","Invalid date format (must match YYYY-MM-DD pattern)","row_id or station_group exceeds 80-character max length","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Empty rows array (minItems: 1 not met)","Invalid field selector — must be 'area_m2' or 'perimeter_m'"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and numeric ordering on land parcel area/perimeter data in a single low-cost call. Ideal for preprocessing geospatial or real estate datasets before downstream analysis, when you have up to 200 rows and only need local computation with no live data lookups or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:16:55.110Z","isFirstParty":false,"canonicalSlug":"land-parcel-observations-record-quality-audit-numeric-row-ordering-5f863255"}