{"uid":"cap_FX2mduPF-eA53Ks3rJoda","slug":"field-survey-coverage-numeric-distribution-and-two-measure-correlation-27df2561","name":"Field Survey Coverage Numeric Distribution and Two-Measure Correlation","description":"Field survey coverage — Numeric distribution + Two-measure correlation: Numeric distribution + 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-22-081?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_gIKZWR-D3vYKEJtwxexy0","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 numeric distribution statistics and two-measure correlation for field survey coverage data (surveyed_m2 vs target_m2) on up to 200 supplied rows.","exampleAgentPrompt":"I have field survey coverage records with surveyed_m2 and target_m2 for up to 150 rows across several station groups — can you run a numeric distribution analysis on the surveyed_m2 field and also compute the correlation between surveyed_m2 and target_m2 across all those rows?","exampleUseCases":[{"title":"Ecological survey completion analysis","prompt":"I've collected field survey data for 80 plots across 5 station groups — can you compute the numeric distribution of the surveyed_m2 values and tell me how strongly the surveyed area correlates with our target_m2 goals?"},{"title":"Habitat monitoring coverage audit","prompt":"We have 120 habitat monitoring records with actual surveyed area and planned target area in square meters — please run a distribution summary on target_m2 and give me the correlation between surveyed_m2 and target_m2 so I can see how closely our teams hit their targets."},{"title":"Survey planning validation for field teams","prompt":"Here are 60 rows of survey records from three station groups with dates, surveyed square meters, and target square meters — can you analyze the distribution of surveyed_m2 and compute the two-measure correlation between surveyed_m2 and target_m2 to help us validate our planning accuracy?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary for the selected field (surveyed_m2 or target_m2), including statistics such as mean, median, standard deviation, min, max, and histogram-style breakdown; and (2) a correlation report measuring the linear relationship between surveyed_m2 and target_m2 across the supplied rows. Both reports are computed locally from the provided data with no external lookups.","failureModes":["Input array exceeds 200 rows — endpoint rejects with validation error","Missing required fields (row_id, date, surveyed_m2, target_m2) in any row causes schema validation failure","Date field not matching YYYY-MM-DD pattern results in rejection","Null values in both numeric fields for all rows may produce undefined correlation","Single-row input prevents meaningful correlation computation","Invalid field enum value (not surveyed_m2 or target_m2) causes request rejection"],"whenToPreferThis":"Choose this endpoint when you have field survey coverage data with surveyed_m2 and target_m2 measurements and need both a distribution summary of one measure and a correlation between the two measures in a single API call. It is ideal for ecological, environmental, or land-use survey datasets with up to 200 records. Prefer this over generic stats tools when you want two bundled analytical reports (distribution + correlation) in one low-cost call without any external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:52:58.895Z","isFirstParty":false,"canonicalSlug":"field-survey-coverage-numeric-distribution-and-two-measure-correlation-27df2561"}