{"uid":"cap_Zv2kn8xiYDMDYuiwDlXr0","slug":"field-survey-coverage-numeric-row-ordering-secondary-measure-weighted-a0f37b73","name":"Field Survey Coverage — Numeric Row Ordering + Secondary-Measure Weighted Mean","description":"Field survey coverage — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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-22-121?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_Ifkc_B9wIsTa6nFEWj-hR","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 row ordering and secondary-measure weighted mean for field survey coverage records (surveyed_m2, target_m2) across up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"I have 4 field survey records — row-1 on 2026-10-01 for group-a with surveyed_m2=10 and target_m2=1, row-2 on 2026-10-02 for group-b with surveyed_m2=20 and target_m2=2, row-3 on 2026-10-03 for group-a with surveyed_m2=15 and target_m2=3, row-4 on 2026-10-04 for group-b with surveyed_m2=30 and target_m2=4 — can you give me numeric row ordering and a weighted mean for the surveyed_m2 field?","exampleUseCases":[{"title":"Ecological transect coverage ranking","prompt":"I've got 8 ecological survey plots recorded this month — each has a row ID, date, station group, surveyed area in m2, and target area in m2. Can you rank them numerically and compute the weighted mean for surveyed_m2?"},{"title":"Environmental compliance area analysis","prompt":"We have 50 field survey compliance records across 5 station groups from Q3 — rows with date, row_id, station_group, surveyed_m2, and target_m2. Please compute the numeric ordering and weighted mean using target_m2 as the secondary measure field."},{"title":"Wildlife survey coverage comparison","prompt":"I need to analyze 15 wildlife survey coverage records collected last week — each with a row_id, date, station group, and both surveyed and target area measurements in square meters. Give me the row ordering and weighted mean for the surveyed_m2 values."}],"resultDescription":"Returns two analytical reports: (1) numeric row ordering of the supplied survey records and (2) a weighted mean calculation for the selected field (surveyed_m2 or target_m2), computed locally without any external lookups or predictions, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, date, surveyed_m2, target_m2, station_group) — schema validation failure","Invalid date format (must match YYYY-MM-DD pattern) — parsing error","Null values in surveyed_m2 or target_m2 may affect weighted mean calculation","Invalid field enum value (must be 'surveyed_m2' or 'target_m2') — validation error","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both numeric row ordering and a weighted mean computed together for field survey coverage data (surveyed_m2, target_m2) in a single low-cost call. It is purpose-built for ecological, environmental, or land survey datasets and requires no external data sources. Prefer it over general analytics when your rows include station_group, date, and area measurements in square meters and you need exactly these two report types bundled at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:39:16.255Z","isFirstParty":false,"canonicalSlug":"field-survey-coverage-numeric-row-ordering-secondary-measure-weighted-a0f37b73"}