{"uid":"cap_418ceKhy_yElXNF8utXfC","slug":"elevation-samples-adjacent-row-changes-date-by-category-pivot-7f6ebadc","name":"Elevation Samples — Adjacent Row Changes + Date by Category Pivot","description":"Elevation samples — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot 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-13-160?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_0KPOdD2y82-qr7Cu3KLb2","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 local analytical reports on elevation sample data: adjacent row change detection and a date-by-category pivot, for up to 200 rows.","exampleAgentPrompt":"I have a set of elevation samples with station groups and dates — can you run adjacent row change detection and a date-by-category pivot on them? The field I care about is elevation_m and I have about 50 rows covering station groups 'north-ridge' and 'south-valley'.","exampleUseCases":[{"title":"Elevation survey change detection","prompt":"I've got 80 rows of elevation readings from two station groups collected over October — can you show me the adjacent row changes and a date-by-category pivot for the elevation_m field?"},{"title":"Sample weight shift analysis","prompt":"Run the adjacent row changes and date-by-category pivot reports on my 120 elevation sample records, but focus on the sample_weight field rather than elevation — I want to see how weights shift between rows and how they break down by station group over time."},{"title":"Multi-station elevation data summary","prompt":"I need two reports on this elevation dataset with station groups 'alpine-east' and 'alpine-west': one showing how elevation_m changes from row to row, and one pivoting elevation by date and category across all 60 records."}],"resultDescription":"Two structured analytical reports: (1) an adjacent row change report showing differences in the selected field (elevation_m or sample_weight) between consecutive rows, and (2) a date-by-category pivot table summarizing the selected field values grouped by date and station_group. No external lookups or live data — all computation is performed locally on the supplied records.","failureModes":["Validation error if fewer than 1 or more than 200 rows are supplied","Row rejected if required fields (row_id, station_group, date, elevation_m, sample_weight) are missing","Date strings not matching YYYY-MM-DD pattern cause schema validation failure","Null numeric values for elevation_m or sample_weight may produce gaps in change calculations","Invalid field enum value (not 'elevation_m' or 'sample_weight') causes request rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular elevation sample data (with station groups and dates) and need both sequential row-to-row change analysis and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical workflows where no live data lookup is needed and you want two complementary reports on the same dataset for $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-05T00:40:55.329Z","isFirstParty":false,"canonicalSlug":"elevation-samples-adjacent-row-changes-date-by-category-pivot-7f6ebadc"}