{"uid":"cap_WlKJ5jLxKiU5-lprre8y5","slug":"land-parcel-observations-record-quality-audit-daily-sum-series-1a2aade6","name":"Land Parcel Observations — Record Quality Audit + Daily Sum Series","description":"Land parcel observations — Record quality audit + Daily sum series: Record quality audit + Daily sum 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-14-009?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_PlUTUkYkO2mpktX5tTpQJ","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 a record quality audit and daily sum time series analysis on up to 200 land parcel observation rows (area_m2, perimeter_m), returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and daily sum series on my land parcel observations? I have about 50 rows with area_m2 and perimeter_m values across multiple station groups and dates — analyze the area_m2 field and give me both reports.","exampleUseCases":[{"title":"Parcel dataset quality check before ingestion","prompt":"I have 120 land parcel observation records with area_m2 and perimeter_m readings across several station groups — can you audit them for quality issues and also compute a daily sum series for area_m2 so I can see the totals over time before I load them into our database?"},{"title":"Daily perimeter trend analysis for survey team","prompt":"Our survey team collected daily parcel perimeter measurements at two station groups over the past month — run a record quality audit on all 80 rows and give me a daily sum series for the perimeter_m field so we can spot any anomalies."},{"title":"Automated QA report for GIS pipeline","prompt":"I need a quality audit plus daily summed totals for area_m2 across these 30 land parcel observation rows — station groups are 'north-zone' and 'south-zone', dates run from 2025-01-01 to 2025-01-30. Generate both reports."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed records across the supplied rows; and (2) a daily sum time series aggregating the selected field (area_m2 or perimeter_m) by date, optionally broken out by station group. Both reports are computed locally from the supplied 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 are rejected","Empty rows array returns an error","Invalid field enum value (not area_m2 or perimeter_m) causes request failure","Payment of 0.01 USDC not included results in 402 response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 land parcel observation records (with area_m2 and perimeter_m fields) and need both a data quality audit and a daily aggregated sum series in a single call. It is well-suited for GIS pipelines, survey data validation, or pre-ingestion QA workflows where no live lookup or external data is needed. It bundles two analytical reports for a flat $0.01 USDC, making it efficient when both quality checking and time-series aggregation are required together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:38:24.704Z","isFirstParty":false,"canonicalSlug":"land-parcel-observations-record-quality-audit-daily-sum-series-1a2aade6"}