{"uid":"cap_3OGkIJIBXg-31WGmEUi-4","slug":"field-survey-coverage-string-normalisation-and-numeric-distribution-04798365","name":"Field Survey Coverage String Normalisation and Numeric Distribution Analyzer","description":"Field survey coverage — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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-22-022?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_AyRnl2Uqbqdqc3VFqYO7T","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":"Runs string normalisation and numeric distribution analysis on up to 200 field survey coverage records (surveyed_m2 and target_m2 fields), returning two analytical reports.","exampleAgentPrompt":"Can you run string normalisation and numeric distribution analysis on my field survey coverage data — here are 4 rows with station groups like 'group-a' and 'group-b', dates in 2026-10, surveyed_m2 values like 10, 20, 15, 30, and target_m2 values 1–4? I want both reports for the surveyed_m2 field.","exampleUseCases":[{"title":"Environmental survey coverage audit","prompt":"I have 150 field survey records with station group names and surveyed_m2 measurements — can you normalize the station group strings and show me the numeric distribution of surveyed_m2 so I can see if coverage is consistent across groups?"},{"title":"Target vs actual area comparison","prompt":"Run a numeric distribution report on the target_m2 values from my field survey dataset — I have 80 rows from October 2026 across groups A through D, and I want to understand how the target areas are spread out statistically."},{"title":"Survey data quality check before reporting","prompt":"Before I submit my quarterly survey report, can you normalize the station group labels in my 200 survey coverage records and show me the numeric distribution of surveyed_m2 to catch any obvious anomalies?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report covering the station_group field (standardized/cleaned values and normalization findings), and (2) a numeric distribution report for either surveyed_m2 or target_m2 (distribution statistics such as min, max, mean, percentiles, spread). Both reports are derived entirely from the supplied rows without any external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, station_group, date, surveyed_m2, target_m2) — validation error returned","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejection","Empty rows array — minItems:1 violation","Invalid field enum value (must be surveyed_m2 or target_m2) — schema error"],"whenToPreferThis":"Choose this endpoint when you have tabular field survey coverage records with area measurements (surveyed_m2 and target_m2) and need both string normalization of categorical labels and numeric distribution statistics in one call for up to 200 rows. Prefer it over general-purpose analytics tools when you specifically need these two bundled reports on survey coverage data at low cost ($0.01 per call). Not suitable for real-time data lookups, predictive modeling, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:07.560Z","isFirstParty":false,"canonicalSlug":"field-survey-coverage-string-normalisation-and-numeric-distribution-04798365"}