{"uid":"cap_z0UvUo5nRoMzJM5WkGYAv","slug":"field-survey-coverage-numeric-interval-filter-and-two-measure-1759c6d4","name":"Field Survey Coverage Numeric Interval Filter and Two-Measure Correlation","description":"Field survey coverage — Numeric interval filter + Two-measure correlation: Numeric interval filter + 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-22-131?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_5x9BklPF_4WUBQUVPFogT","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":"Filters field survey coverage rows by a numeric interval on a chosen measure and computes Pearson correlation between surveyed_m2 and target_m2 for up to 200 supplied rows.","exampleAgentPrompt":"I have 150 field survey coverage records with surveyed_m2 and target_m2 values — can you filter them to only rows where surveyed_m2 is between 0 and 5000, and also run a correlation between surveyed_m2 and target_m2 across all the data?","exampleUseCases":[{"title":"Habitat survey coverage audit","prompt":"Here are 80 habitat survey rows with surveyed_m2 and target_m2 — filter to only the rows where surveyed_m2 is between 500 and 20000, and tell me how strongly surveyed area correlates with the target area."},{"title":"Station group completion analysis","prompt":"I've got field survey records across station groups A through D. Can you filter down to rows where target_m2 falls between 1000 and 50000 and compute the correlation between surveyed_m2 and target_m2 for that filtered set?"},{"title":"Coverage gap detection for ecology teams","prompt":"Run two reports on my 120 survey coverage records: first filter rows where surveyed_m2 is between 0 and 10000, and second give me the Pearson correlation between surveyed_m2 and target_m2 so I can see if our teams are hitting their targets."}],"resultDescription":"Two analytical reports derived from the supplied rows: (1) a filtered subset of rows where the chosen field (surveyed_m2 or target_m2) falls within the specified minimum–maximum interval, and (2) a Pearson correlation coefficient and supporting statistics between surveyed_m2 and target_m2 across the supplied dataset. Results are computed locally with no external lookups.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the row limit and will be rejected","Non-numeric or null values in both surveyed_m2 and target_m2 may reduce correlation validity","Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation","Minimum value greater than maximum value may produce empty filtered result set","Missing required fields (row_id) will cause schema rejection"],"whenToPreferThis":"Choose this endpoint when you need a combined numeric interval filter and bivariate correlation on field survey coverage data (surveyed_m2 vs target_m2) in a single low-cost call. It is ideal for small-to-medium survey datasets (up to 200 rows) where you want both a filtered view and a statistical relationship measure without any external data lookups or predictions. Prefer alternatives if you need histogram binning, grouped summaries, deduplication, or more than two measures analyzed simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:35:06.028Z","isFirstParty":false,"canonicalSlug":"field-survey-coverage-numeric-interval-filter-and-two-measure-1759c6d4"}