{"uid":"cap_gvCBWOQi5C7Qll2CuBAql","slug":"elevation-samples-numeric-row-ordering-numeric-interval-filter-5cc2e896","name":"Elevation Samples — Numeric Row Ordering + Numeric Interval Filter","description":"Elevation samples — Numeric row ordering + Numeric interval filter: Numeric row ordering + Numeric interval filter for supplied elevation samples records (elevation_m, sample_weight). 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-13-113?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","elevation_m","sample_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"elevation_m":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"sample_weight":{"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","elevation_m":10,"sample_weight":1,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","elevation_m":20,"sample_weight":2,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","elevation_m":15,"sample_weight":3,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","elevation_m":30,"sample_weight":4,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["elevation_m","sample_weight"],"type":"string","default":"elevation_m"},"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_krfZhSsTw3KUEf_dyIAI-","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":"Sorts elevation sample records by a numeric field and filters them to a specified numeric interval, returning two analytical reports on up to 200 rows of elevation and sample weight data.","exampleAgentPrompt":"I have 4 elevation sample records from stations group-a and group-b with elevations of 10, 20, 15, and 30 meters and sample weights of 1 through 4 — can you sort them by elevation_m and filter to only show rows where elevation_m is between 0 and 100?","exampleUseCases":[{"title":"Filter station readings within elevation band","prompt":"I have 150 weather station elevation readings and I want to keep only the ones where elevation_m falls between 500 and 2000 meters — sort them by elevation_m and give me the two reports."},{"title":"Rank samples by weight for quality review","prompt":"Here are 80 elevation sample records across several station groups. Sort them by sample_weight from lowest to highest, and filter to only samples where sample_weight is between 1.5 and 10, so I can review data quality."},{"title":"Identify outliers in elevation dataset","prompt":"I've got a batch of 200 elevation samples from my field survey — can you order them by elevation_m and filter to the range -50 to 50 so I can isolate the near-sea-level readings for a separate analysis?"}],"resultDescription":"Two analytical reports covering: (1) the input rows sorted by the specified numeric field in ascending order, and (2) the subset of rows where the specified numeric field falls within the provided minimum and maximum interval. Up to 200 rows are processed per call.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (must be YYYY-MM-DD) — validation error","Missing required row fields (row_id, station_group, date, elevation_m, sample_weight) — schema validation failure","field enum value not one of 'elevation_m' or 'sample_weight' — invalid input","minimum greater than maximum — may return empty interval filter result","Payment not included or insufficient — 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have tabular elevation or sample-weight data (up to 200 rows) and need both a sorted ordering and a bounded interval filter in a single call. It is ideal for lightweight, offline analytical tasks on pre-collected environmental or geospatial datasets where no live data lookup, prediction, or external enrichment is required. Prefer it over general-purpose data tools when you want a structured dual-report output at low cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:14.598Z","isFirstParty":false,"canonicalSlug":"elevation-samples-numeric-row-ordering-numeric-interval-filter-5cc2e896"}