{"uid":"cap_-XlcnLHvo37yGCFz12ivL","slug":"land-parcel-observations-daily-sum-series-two-measure-correlation-03f66ffd","name":"Land Parcel Observations — Daily Sum Series + Two-Measure Correlation","description":"Land parcel observations — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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-14-141?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_4v3y5AMwVPbwM8RmsaZCQ","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":"Computes daily sum time series and Pearson correlation between area_m2 and perimeter_m for up to 200 land parcel observation records.","exampleAgentPrompt":"I have 4 land parcel observation records — row-1 on 2026-10-01 with area_m2=10 and perimeter_m=1 in group-a, row-2 on 2026-10-02 with area_m2=20 and perimeter_m=2 in group-b, row-3 on 2026-10-03 with area_m2=15 and perimeter_m=3 in group-a, and row-4 on 2026-10-04 with area_m2=30 and perimeter_m=4 in group-b — can you compute the daily sum series for area_m2 and also run the two-measure correlation between area_m2 and perimeter_m?","exampleUseCases":[{"title":"Daily area totals for survey batch","prompt":"I've got 50 land parcel records from a recent survey, each with a date, station group, area in square metres, and perimeter in metres — can you compute the daily sum series for area_m2 and the correlation between area and perimeter across all of them?"},{"title":"Parcel shape consistency check","prompt":"Here are 120 parcel observation rows from our GIS export with dates ranging from 2025-01-01 to 2025-04-30 — run the daily sum series on perimeter_m and give me the two-measure correlation between area_m2 and perimeter_m so I can see if larger parcels consistently have longer perimeters."},{"title":"Multi-group parcel trend analysis","prompt":"I have land parcel data for two station groups — north-zone and south-zone — with 80 rows each covering Q3 2024; please aggregate the daily totals for area_m2 and calculate the area-to-perimeter correlation for the full dataset."}],"resultDescription":"Returns two reports: (1) a daily sum time series showing the summed value of the selected field (area_m2 or perimeter_m) grouped by date, and (2) a two-measure correlation coefficient between area_m2 and perimeter_m across all supplied rows. Both reports are computed locally from the submitted data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, station_group, date, area_m2, perimeter_m) — validation error","Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure","All null values for a measure — correlation computation may return null or NaN","Empty rows array — minItems:1 constraint violation"],"whenToPreferThis":"Choose this endpoint when you have raw land parcel observation data (area and perimeter measurements keyed by date and station group) and need both a daily aggregation time series and a statistical correlation between the two measures in a single low-cost call. It is ideal for offline/batch analytical pipelines where no live data lookup, external enrichment, or prediction is needed, and the dataset fits within 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:11:59.548Z","isFirstParty":false,"canonicalSlug":"land-parcel-observations-daily-sum-series-two-measure-correlation-03f66ffd"}