{"uid":"cap_I5-v1cH4oyqv-TU7xlc_R","slug":"elevation-samples-numeric-distribution-numeric-row-ordering-28442c1d","name":"Elevation Samples — Numeric Distribution + Numeric Row Ordering","description":"Elevation samples — Numeric distribution + Numeric row ordering: Numeric distribution + 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-13-073?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_iCvEN48woU5TYua-iBVOa","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 numeric distribution statistics and row ordering analysis for up to 200 elevation sample records containing elevation_m and sample_weight fields.","exampleAgentPrompt":"I have 4 elevation sample rows — row-1 on 2026-10-01 with elevation_m=10 and sample_weight=1 for group-a, row-2 on 2026-10-02 with elevation_m=20 and sample_weight=2 for group-b, row-3 on 2026-10-03 with elevation_m=15 and sample_weight=3 for group-a, and row-4 on 2026-10-04 with elevation_m=30 and sample_weight=4 for group-b — can you run numeric distribution and row ordering analysis on the elevation_m field for me?","exampleUseCases":[{"title":"Station elevation distribution audit","prompt":"I have 50 elevation readings from my weather stations across three groups — can you analyze the numeric distribution of the elevation_m values and also rank all the rows by elevation so I can see the ordering? I'll send you the row_id, station_group, date, elevation_m, and sample_weight for each one."},{"title":"Sample weight ordering for field survey","prompt":"I've collected 80 soil sample records with elevation and weight measurements — please run both a numeric distribution report and a row ordering report on the sample_weight field so I can understand how weights are spread across my dataset."},{"title":"Multi-group elevation comparison","prompt":"I need to compare elevation samples from two station groups — group-alpha and group-beta — across 120 rows collected over the past month. Can you give me the numeric distribution and ranked ordering for the elevation_m values so I can spot any outliers or trends?"}],"resultDescription":"Two analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, percentiles, frequency counts) for the selected field (elevation_m or sample_weight), and (2) a numeric row ordering report ranking each input row by the selected field value — both computed locally against the supplied data, with no external lookups.","failureModes":["Input rows array is empty or missing — validation error returned","More than 200 rows submitted — request rejected with max items error","Invalid date format (not YYYY-MM-DD) — schema validation failure","elevation_m or sample_weight values outside numeric bounds — rejected","field enum value not 'elevation_m' or 'sample_weight' — validation error","row_id missing or empty string — required field error"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 elevation or sample-weight records and need both a statistical distribution breakdown and a ranked row ordering in a single low-cost call ($0.01 USDC). It is self-contained with no external data lookups, making it ideal for offline or deterministic analytical pipelines. Prefer this over general-purpose analytics tools when you specifically need these two report types on geospatial elevation survey data without requiring live data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:49:52.262Z","isFirstParty":false,"canonicalSlug":"elevation-samples-numeric-distribution-numeric-row-ordering-28442c1d"}