{"uid":"cap_TwHhLbVUaymAnjTJOLKBx","slug":"land-parcel-observations-record-quality-audit-category-frequencies-fe4aa3f5","name":"Land Parcel Observations — Record Quality Audit + Category Frequencies","description":"Land parcel observations — Record quality audit + Category frequencies: Record quality audit + Category frequencies 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-14-006?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}}},"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_LkyWHyrTnE6x0s0jUE2u1","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":"Runs two local analytical reports on land parcel observation data: a record quality audit and category frequency counts for up to 200 rows of area/perimeter measurements.","exampleAgentPrompt":"Can you audit the quality of these land parcel records and give me a category frequency breakdown by station_group? I have 4 rows with fields row_id, date, area_m2, perimeter_m, and station_group — for example row-1 on 2026-10-01 in group-a with area 10 m² and perimeter 1 m.","exampleUseCases":[{"title":"GIS data quality check before ingestion","prompt":"I'm about to load 150 land parcel records into our GIS system — can you first run a quality audit on them and tell me how many records are clean vs problematic, plus show me how frequently each station group appears?"},{"title":"Survey dataset station group frequency analysis","prompt":"We collected parcel measurements from three station groups across 80 sites. Can you check the data quality of all 80 rows and count how many observations came from each station group?"},{"title":"Parcel area data validation for regulatory submission","prompt":"Before we submit our land survey data to the regulator, can you audit these 200 parcel observation records for quality issues and give me a category frequency summary broken down by station_group?"}],"resultDescription":"Returns two analytical reports: (1) a record quality audit identifying issues such as null values, out-of-range numbers, or malformed dates across each row's area_m2 and perimeter_m fields; and (2) category frequency counts showing how often each distinct station_group value appears in the supplied dataset. Both reports are computed locally on the submitted data with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, area_m2, perimeter_m, station_group) cause row-level rejection","Malformed date strings not matching YYYY-MM-DD pattern fail schema validation","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array returns an error","Payment not provided or insufficient USDC causes 402 response"],"whenToPreferThis":"Choose this endpoint when you need simultaneous data quality auditing and category frequency analysis on land parcel observation records (area_m2, perimeter_m) in a single low-cost call. It is ideal for pre-ingestion validation of survey or GIS datasets, offline/local analysis without external API dependencies, and when you need both quality flags and station_group frequency summaries in one response for up to 200 rows at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:10:28.141Z","isFirstParty":false,"canonicalSlug":"land-parcel-observations-record-quality-audit-category-frequencies-fe4aa3f5"}