{"uid":"cap_tXSMhaeEy5FdSOKmcI3kd","slug":"elevation-samples-category-frequencies-numeric-row-ordering-7fdd1899","name":"Elevation Samples — Category Frequencies + Numeric Row Ordering","description":"Elevation samples — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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-13-100?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"}}},"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_e5SJXmqCcw3jNqrKnOZa2","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 category frequency counts and numeric row ordering for elevation sample records (elevation_m, sample_weight) across up to 200 rows using local analytics.","exampleAgentPrompt":"Can you analyze these 4 elevation samples — row-1 at 10m (weight 1, group-a, 2026-10-01), row-2 at 20m (weight 2, group-b, 2026-10-02), row-3 at 15m (weight 3, group-a, 2026-10-03), row-4 at 30m (weight 4, group-b, 2026-10-04) — and give me the category frequencies for station_group plus numeric row ordering ranked by elevation_m?","exampleUseCases":[{"title":"Station group distribution summary","prompt":"I have 10 elevation readings across three station groups (alpha, beta, gamma) taken over October 2026 — can you count how many samples fall into each group category and also rank all the rows by elevation_m value?"},{"title":"Sample weight ranking for field survey","prompt":"Here are 50 elevation sample records from our field survey with dates, station groups, and sample weights — can you rank them numerically by sample_weight and show me the frequency of each station group?"},{"title":"QA check on elevation dataset","prompt":"I need to quality-check my elevation dataset with 120 rows — run the category frequency report on station_group and numeric ordering on elevation_m so I can see which groups dominate and how the measurements rank."}],"resultDescription":"Returns two analytical reports for the supplied elevation sample rows: (1) category frequency counts showing how often each station_group value appears, and (2) numeric row ordering ranking each row by the selected numeric field (elevation_m or sample_weight). Results are computed locally from supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, station_group, date, elevation_m, sample_weight) causes schema rejection","Invalid date format (non YYYY-MM-DD) fails pattern validation","Null values for both numeric fields may produce incomplete ordering results","Payment failure returns 402 status with no computation performed"],"whenToPreferThis":"Choose this endpoint when you have up to 200 elevation sample records and need both a category frequency breakdown by station group AND numeric row ordering in a single low-cost call. It is best suited for offline/local analytical computation on supplied data — not for live elevation lookups, predictions, or external data retrieval. At $0.01 for two reports, it is cost-effective for quick exploratory analysis of elevation datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:12:04.242Z","isFirstParty":false,"canonicalSlug":"elevation-samples-category-frequencies-numeric-row-ordering-7fdd1899"}