{"uid":"cap_zrYbFeBC_HYSe-B4dGamP","slug":"elevation-samples-grouped-numeric-summary-adjacent-row-changes-6fa603ac","name":"Elevation Samples — Grouped Numeric Summary + Adjacent Row Changes","description":"Elevation samples — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes 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-13-091?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_qZTioLwuSUPJb3pou4lEV","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":"Runs two analytical reports on supplied elevation sample data: a grouped numeric summary by station group and an adjacent row change detection report.","exampleAgentPrompt":"I have a dataset of elevation samples with station groups and dates — can you run both a grouped numeric summary and an adjacent row changes report on my elevation_m values? Here are the rows: row-1 on 2026-10-01, group-a, 10m elevation, weight 1; row-2 on 2026-10-02, group-b, 20m, weight 2; row-3 on 2026-10-03, group-a, 15m, weight 3; row-4 on 2026-10-04, group-b, 30m, weight 4.","exampleUseCases":[{"title":"Elevation trend analysis by monitoring station","prompt":"I have 50 elevation readings from two monitoring stations collected over the past month. Can you group the elevation_m values by station and give me a numeric summary, and also show me how elevation changed between consecutive rows?"},{"title":"Detecting anomalous elevation shifts in survey data","prompt":"Here's my survey data with elevation_m and sample_weight fields across groups A, B, and C — can you run an adjacent row changes report on elevation_m so I can spot any sudden jumps between readings?"},{"title":"Weighted elevation sample statistics for environmental report","prompt":"I need grouped statistics on elevation_m for my environmental dataset — 120 rows with station_group labels and sample_weight. Give me a grouped numeric summary and show the row-to-row changes in elevation_m values."}],"resultDescription":"Two analytical reports: (1) a grouped numeric summary breaking down elevation_m (or sample_weight) statistics by station_group, including aggregates such as count, mean, min, max, and standard deviation; and (2) an adjacent row changes report showing delta values between consecutive rows ordered by date or row_id. Both reports are computed locally from the supplied data without any external lookups.","failureModes":["Input array contains more than 200 rows — request will be rejected or truncated","Missing required fields (row_id, station_group, date, elevation_m, sample_weight) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern result in parsing errors","All null values for the selected field produce empty or undefined statistical output","Payment of 0.01 USDC not processed correctly causes 402 rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular elevation sample data (up to 200 rows) and need both grouped aggregate statistics by station and sequential change detection in a single affordable API call. Ideal for environmental monitoring, geospatial survey analysis, or any scenario where elevation readings are tagged with station groups and timestamps. Not suitable for live elevation lookup, geocoding, or large-scale batch processing beyond 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:34:28.106Z","isFirstParty":false,"canonicalSlug":"elevation-samples-grouped-numeric-summary-adjacent-row-changes-6fa603ac"}