{"uid":"cap_fA34pVhpY74QyhlRC0rCz","slug":"elevation-samples-numeric-interval-filter-date-by-category-pivot-804a00be","name":"Elevation Samples — Numeric Interval Filter + Date-by-Category Pivot","description":"Elevation samples — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot 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-13-133?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_Ekbb1vAkVz4GCiAqGWRQN","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":"Filters elevation sample records by a numeric range on a chosen field and generates a date-by-station-group pivot report, returning two analytical summaries for up to 200 rows.","exampleAgentPrompt":"I have 150 elevation sample records with fields row_id, station_group, date, elevation_m, and sample_weight — can you filter on elevation_m between 0 and 100, then give me a pivot of results by date and station group as two separate analytical reports?","exampleUseCases":[{"title":"Elevation band analysis by monitoring station","prompt":"I've got elevation samples from multiple station groups — filter them to only rows where elevation_m is between 50 and 500, then pivot the results by date and station group so I can see which groups are active in that band."},{"title":"Sample weight range review across survey dates","prompt":"For my survey dataset with elevation and sample_weight columns, filter on sample_weight between 1.5 and 10.0 and give me the date-by-category pivot so I can spot patterns across station groups."},{"title":"Quality check on elevation readings within valid bounds","prompt":"I need to check which of my 120 elevation readings fall between -10 and 200 meters — run the numeric interval filter on elevation_m and show me the date-by-station-group pivot as two reports."}],"resultDescription":"Returns two analytical reports based on the supplied row data: (1) records passing the numeric interval filter on the chosen field (elevation_m or sample_weight) within the specified minimum/maximum bounds, and (2) a date-by-station-group pivot table aggregating the filtered records. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Empty result if no rows fall within the specified min/max range","Validation error if rows array is empty or exceeds 200 items","Schema error if required fields (row_id, station_group, date, elevation_m, sample_weight) are missing from any row","Date format error if date strings don't match YYYY-MM-DD pattern","Payment failure if 0.01 USDC x402 payment is not attached or insufficient"],"whenToPreferThis":"Choose this endpoint when you have up to 200 elevation or environmental sample records and need two simultaneous analytical outputs — a numeric range filter and a date-by-category pivot — without any external data lookup or prediction. Ideal for batch offline analysis of survey or monitoring station data where you supply all rows directly.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:34:31.417Z","isFirstParty":false,"canonicalSlug":"elevation-samples-numeric-interval-filter-date-by-category-pivot-804a00be"}