{"uid":"cap_FFbsxbhsdl0vVbzhWMt6k","slug":"field-survey-coverage-numeric-row-ordering-two-measure-correlation-f6756426","name":"Field Survey Coverage — Numeric Row Ordering + Two-Measure Correlation","description":"Field survey coverage — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation for supplied field survey coverage records (surveyed_m2, target_m2). 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-22-120?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","surveyed_m2","target_m2"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"target_m2":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"surveyed_m2":{"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","target_m2":1,"surveyed_m2":10,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","target_m2":2,"surveyed_m2":20,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","target_m2":3,"surveyed_m2":15,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","target_m2":4,"surveyed_m2":30,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["surveyed_m2","target_m2"],"type":"string","default":"surveyed_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_nzK_TUudNbU4uxClXw33k","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":"Performs numeric row ordering and two-measure correlation analysis on field survey coverage records (surveyed_m2, target_m2) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have a set of field survey records with surveyed_m2 and target_m2 values across different station groups and dates — can you rank them numerically by surveyed_m2 and also run a two-measure correlation between surveyed_m2 and target_m2 across all rows?","exampleUseCases":[{"title":"Ranking survey sites by coverage area","prompt":"I've got 50 field survey records from October 2026 across station groups A, B, and C — each has a surveyed_m2 and target_m2 value. Can you rank them by surveyed_m2 from highest to lowest and also give me the correlation between the two measures?"},{"title":"Assessing target vs actual coverage correlation","prompt":"We ran a land coverage survey across multiple station groups last quarter. I need to know how strongly our surveyed_m2 tracks against our target_m2 across all 120 records, and I also want the rows ordered numerically by target_m2."},{"title":"Station group performance comparison","prompt":"Can you take my field survey dataset — it has row IDs, dates, station groups, surveyed square meters, and target square meters — and give me both a numeric ordering by surveyed_m2 and a correlation analysis between surveyed_m2 and target_m2? There are about 80 rows total."}],"resultDescription":"Returns two analytical reports: (1) a numeric row ordering of the supplied survey records ranked by the chosen field (surveyed_m2 or target_m2), and (2) a two-measure correlation report showing the statistical relationship between surveyed_m2 and target_m2 across the submitted rows. No external data is fetched or predicted; all analysis is performed on the supplied dataset.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, surveyed_m2, target_m2) cause validation errors","Invalid date format (must be YYYY-MM-DD) causes schema rejection","Null values in both measure fields may degrade or invalidate correlation computation","Fewer than 2 rows may make correlation undefined"],"whenToPreferThis":"Choose this endpoint when you have field survey coverage data with surveyed_m2 and target_m2 measurements and need both numeric ranking and a correlation analysis in a single call. It is ideal for offline/batch analytical workflows where no live data lookup or prediction is needed, and when your dataset fits within 200 rows. Cost is $0.01 USDC for both reports together, making it efficient for small-to-medium survey datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:42.420Z","isFirstParty":false,"canonicalSlug":"field-survey-coverage-numeric-row-ordering-two-measure-correlation-f6756426"}