{"uid":"cap_oGC0WGUYzWow5CuFVoYRl","slug":"elevation-samples-exact-row-deduplication-numeric-interval-filter-8c117a64","name":"Elevation Samples — Exact Row Deduplication + Numeric Interval Filter","description":"Elevation samples — Exact row deduplication + Numeric interval filter: Exact row deduplication + 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-13-043?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_pTAdIxmxUmWmLFXrwe3kq","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":"Deduplicates elevation sample records and filters them by a numeric interval on elevation_m or sample_weight, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you deduplicate my elevation sample records and filter by elevation_m between 0 and 100? I have 4 rows with station groups 'group-a' and 'group-b' dated 2026-10-01 through 2026-10-04, with elevations 10, 20, 15, and 30 meters.","exampleUseCases":[{"title":"Clean weather station elevation data","prompt":"I have a batch of 50 elevation readings from weather stations — some rows are duplicates. Can you deduplicate them and keep only the ones where elevation_m falls between 5 and 250? The field to filter on is elevation_m."},{"title":"Filter samples by sample weight range","prompt":"I've got elevation sample records and I need to remove exact duplicates and then filter to only rows where sample_weight is between 1.5 and 10.0. Here are up to 200 rows with row_id, station_group, date, elevation_m, and sample_weight fields."},{"title":"Audit elevation dataset for data quality","prompt":"Can you run deduplication and a numeric interval filter on my elevation dataset? I want to check the field sample_weight, keeping values between -50 and 50, across around 120 records from various station groups."}],"resultDescription":"Two independent analytical reports covering: (1) exact row deduplication results identifying and removing duplicate elevation sample records, and (2) numeric interval filter results retaining only rows where the chosen field (elevation_m or sample_weight) falls within the specified minimum–maximum range. Both reports are generated locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format (not YYYY-MM-DD) — validation error","Field value outside allowed numeric bounds (±1,000,000,000,000) — schema rejection","Missing required row fields (row_id, date, elevation_m, sample_weight, station_group) — validation error","Minimum value greater than maximum — empty filter result set","Empty rows array — schema minItems violation"],"whenToPreferThis":"Choose this endpoint when you have tabular elevation sample data (up to 200 rows) and need both exact row deduplication and a numeric interval filter applied in a single call, returning two reports. It is a local analytical engine with no live data lookup or external side effects, making it ideal for deterministic, reproducible data cleaning pipelines on small-to-medium elevation datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:40:17.612Z","isFirstParty":false,"canonicalSlug":"elevation-samples-exact-row-deduplication-numeric-interval-filter-8c117a64"}