{"uid":"cap_brwV36t6Kpc_4lWt8rXT7","slug":"elevation-samples-numeric-row-ordering-trailing-mean-series-c9ff9725","name":"Elevation Samples — Numeric Row Ordering + Trailing Mean Series","description":"Elevation samples — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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-13-115?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_oTWEoQk3aUSLHLRH8lFGT","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 row ordering and a trailing mean series for up to 200 elevation sample records, delivering two analytical reports from supplied data.","exampleAgentPrompt":"I have 4 elevation sample records for two station groups — row-1 (group-a, 2026-10-01, elevation 10m, weight 1), row-2 (group-b, 2026-10-02, elevation 20m, weight 2), row-3 (group-a, 2026-10-03, elevation 15m, weight 3), row-4 (group-b, 2026-10-04, elevation 30m, weight 4) — can you compute the numeric row ordering and a trailing mean series with a window of 2 on the elevation_m field?","exampleUseCases":[{"title":"Station elevation trend smoothing","prompt":"I've got 50 elevation readings from our weather stations across two groups — can you rank them numerically and compute a trailing mean with a window of 5 on the elevation_m field so I can see the smoothed trend?"},{"title":"Sample weight rolling average analysis","prompt":"Here are 100 rows of elevation sample data with station groups and dates — please compute the numeric row ordering and a trailing mean series using a window of 10 on the sample_weight field."},{"title":"Elevation outlier context via ranked ordering","prompt":"I have 30 elevation sample records from a mountain monitoring project and I need both their numeric row ranks and a trailing mean series with window 3 on elevation_m — can you run both reports for me?"}],"resultDescription":"Two analytical reports per call: (1) a numeric row ordering ranking the supplied elevation sample rows, and (2) a trailing mean series computed over the selected field (elevation_m or sample_weight) using the specified window size — both derived entirely 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) causes validation error","Window size outside [2, 200] range causes parameter rejection","Missing required fields (row_id, elevation_m, sample_weight) cause schema validation failure","Null values in the target field may affect trailing mean computation"],"whenToPreferThis":"Choose this endpoint when you have tabular elevation sample data (up to 200 rows) and need both a numeric row ranking and a rolling/trailing mean series computed locally without any live data lookup, external API calls, or prediction. Ideal for offline analytical batch processing of elevation or sample-weight time series from station groups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:42:50.633Z","isFirstParty":false,"canonicalSlug":"elevation-samples-numeric-row-ordering-trailing-mean-series-c9ff9725"}