{"uid":"cap_Ghe8R1fJIrGxrUZiwPFXD","slug":"field-survey-coverage-string-normalisation-and-equal-width-histogram-ea3d60d6","name":"Field Survey Coverage String Normalisation and Equal-Width Histogram","description":"Field survey coverage — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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-22-031?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_93wD77GbpLx9-EChsgcqg","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 string normalisation and an equal-width histogram for field survey coverage records (surveyed_m2 and target_m2) across up to 200 rows.","exampleAgentPrompt":"Can you normalize the station group strings and produce a 10-bin equal-width histogram for the surveyed_m2 field across these 50 field survey records — rows include row_id, station_group, date, surveyed_m2, and target_m2?","exampleUseCases":[{"title":"Ecological survey coverage distribution","prompt":"I have 120 field survey records with surveyed_m2 and target_m2 values across several station groups. Can you normalize the station labels and build a 8-bin equal-width histogram on the surveyed_m2 column so I can see how coverage is distributed?"},{"title":"Target area binning for planning report","prompt":"Can you run a histogram with 5 bins on the target_m2 field for my 80 survey rows — I want to see how the target areas cluster so I can identify where we're over- or under-surveying?"},{"title":"Multi-date survey completeness analysis","prompt":"I've got survey coverage data from October 2026 across two station groups, about 40 rows total. Please normalize the group name strings and give me a 6-bin histogram on surveyed_m2 so I can summarize the coverage spread in my report."}],"resultDescription":"Returns two analytical reports: (1) normalized versions of the string fields (e.g. station_group) for the submitted rows, and (2) an equal-width histogram for the selected numeric field (surveyed_m2 or target_m2) with up to 30 configurable bins, showing bin ranges and row counts per bin. No external lookups or predictions are included.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format not matching YYYY-MM-DD pattern — validation error","bins value outside 1–30 range — schema validation error","Null or missing required fields (row_id, surveyed_m2, target_m2) — may produce incomplete histogram","Non-numeric values in surveyed_m2 or target_m2 — computation error or null-handling","Payment not provided — HTTP 402 response blocking access"],"whenToPreferThis":"Use this endpoint when you have up to 200 field survey records with area measurements (surveyed_m2, target_m2) and need both string normalization of categorical labels and a numeric frequency histogram in a single low-cost call. Prefer this over general-purpose analytics tools when you want a structured, ready-made two-report output specifically designed for field survey coverage data without writing custom analysis code.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:08.144Z","isFirstParty":false,"canonicalSlug":"field-survey-coverage-string-normalisation-and-equal-width-histogram-ea3d60d6"}