{"uid":"cap_0YBi998y24B2mxE14DeNz","slug":"field-survey-coverage-analyzer-category-frequencies-iqr-outlier-flags-0cae123b","name":"Field Survey Coverage Analyzer — Category Frequencies & IQR Outlier Flags","description":"Field survey coverage — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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-22-107?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_GP-e11FSbVdt92tTBIs3s","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 category-level frequency distributions and IQR-based outlier flags for field survey coverage records (surveyed_m2 and target_m2), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you analyze my field survey coverage records and flag any IQR outliers in the surveyed_m2 field? I have rows for station groups like group-a and group-b from October 2026 — I want category frequency counts and outlier flags for up to 200 rows.","exampleUseCases":[{"title":"Ecological survey quality check","prompt":"I have 150 ecological field survey records with station groups and surveyed area in m2 — can you compute the category frequencies and flag any IQR outliers in the surveyed_m2 column so I can spot measurement anomalies before I submit my report?"},{"title":"Target coverage gap detection","prompt":"Can you run the IQR outlier analysis and category frequency breakdown on my target_m2 values across different station groups? I want to see which groups are behaving unusually compared to the rest."},{"title":"Multi-site survey audit","prompt":"I've got survey coverage data from multiple monitoring sites with dates ranging from 2026-01-01 to 2026-12-31 across about 80 rows — please give me the frequency distribution by station group and flag any outliers in surveyed_m2 using IQR."}],"resultDescription":"Returns two analytical reports: (1) category frequency counts grouped by station_group for the selected field, and (2) IQR-based outlier flags per row identifying which records fall outside the interquartile range. Both reports are computed locally from the supplied rows with no external data lookups.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, station_group, date, surveyed_m2, target_m2) in any row — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (-1e12 to 1e12) — rejected","Empty rows array — minimum 1 item required","Invalid field enum value (not surveyed_m2 or target_m2) — schema error"],"whenToPreferThis":"Use this endpoint when you have raw field survey coverage records (up to 200 rows) and need both a categorical frequency summary and IQR-based statistical outlier detection in a single call without any external data dependencies. Prefer this over general-purpose analytics tools when your data specifically involves surveyed_m2 and target_m2 measurements grouped by station and date, and you need two complementary reports (frequency + outlier flags) for a flat per-call fee.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T00:39:48.772Z","isFirstParty":false,"canonicalSlug":"field-survey-coverage-analyzer-category-frequencies-iqr-outlier-flags-0cae123b"}