{"uid":"cap_dV8sNmhjLCIIA-rp9Kb0H","slug":"elevation-samples-adjacent-row-changes-base-100-series-01386000","name":"Elevation Samples — Adjacent Row Changes + Base-100 Series","description":"Elevation samples — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 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-13-155?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_E2nq35PngccwmfrsS7wZm","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 adjacent row-to-row change analysis and base-100 indexed series for supplied elevation sample records, returning two analytical reports.","exampleAgentPrompt":"I have elevation sample records for two station groups over several dates — can you run the adjacent row change analysis and base-100 series on the elevation_m field, starting the base index at row 0? Here are the rows: row-1 on 2026-10-01, elevation 10m weight 1, group-a; row-2 on 2026-10-02, elevation 20m weight 2, group-b; row-3 on 2026-10-03, elevation 15m weight 3, group-a.","exampleUseCases":[{"title":"Elevation trend monitoring for survey stations","prompt":"I've got 50 daily elevation readings from two survey station groups and I want to see both how the elevation_m values change between consecutive rows and how they index relative to the first row — can you run the adjacent row changes and base-100 series on the elevation_m field starting from base index 0?"},{"title":"Weight-normalized series for sensor calibration","prompt":"Can you analyze my sensor calibration data? I need adjacent row changes and a base-100 series computed on the sample_weight field across my 30 rows of station data, with the base set at index 0."},{"title":"Comparing elevation shifts across station groups","prompt":"I have elevation sample records for station groups alpha and beta across 15 dates — please run the two analytical reports (adjacent row changes and base-100 indexing) on elevation_m starting from base index 0 so I can see where the biggest shifts happened."}],"resultDescription":"Two analytical reports: (1) adjacent row-to-row change values for the selected field across the input rows, and (2) a base-100 indexed series anchored at the specified base_index row — both computed locally from the supplied elevation sample records without any external lookup.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — exceeds maximum row limit","base_index out of range (must be 0–199 and within actual row count)","Missing required fields (row_id, date, elevation_m, sample_weight, station_group) on any row","Invalid date format (must match YYYY-MM-DD pattern)","Non-numeric values for elevation_m or sample_weight when not null"],"whenToPreferThis":"Choose this endpoint when you have tabular elevation sample data (up to 200 rows) and need both a sequential row-difference analysis and a base-100 normalized index series computed together in a single call for a flat per-call fee. It is ideal for offline/batch analytical workflows on pre-collected sensor or survey data where no live geospatial lookup or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:38:22.310Z","isFirstParty":false,"canonicalSlug":"elevation-samples-adjacent-row-changes-base-100-series-01386000"}