{"uid":"cap_-I0dDhvcO35hym1kH_zVL","slug":"elevation-samples-numeric-interval-filter-adjacent-row-changes-cae6decb","name":"Elevation Samples — Numeric Interval Filter + Adjacent Row Changes","description":"Elevation samples — Numeric interval filter + Adjacent row changes: Numeric interval filter + 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-13-127?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_MqTy-a8Asy0CUrUcnhBJg","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":"Filters elevation sample rows by a numeric interval on a chosen field and computes adjacent row changes, returning two analytical reports for up to 200 supplied rows.","exampleAgentPrompt":"I have a batch of elevation samples with elevation_m and sample_weight fields — can you filter them to only rows where elevation_m is between 50 and 300, and also show me the adjacent row changes for that dataset? Here are my rows: row-1 on 2026-10-01 at station group-a with elevation 120m and weight 1.5, row-2 on 2026-10-02 at group-b with elevation 45m and weight 2.0, row-3 on 2026-10-03 at group-a with elevation 200m and weight 3.1.","exampleUseCases":[{"title":"Elevation range quality check for survey data","prompt":"I've got 80 elevation survey readings from two station groups and I need to flag any samples where elevation_m falls outside the range of 0 to 500 meters, plus see how much each row's elevation changed from the one before it. Can you run both reports on my data?"},{"title":"Sample weight interval filtering for field study","prompt":"Can you filter my elevation sample records to only keep rows where sample_weight is between 1.0 and 10.0, and also give me the adjacent row-over-row changes in sample_weight? I have about 40 rows across groups alpha and beta from October 2026."},{"title":"Station group elevation change monitoring","prompt":"I need two reports on my elevation dataset: first, which of my 150 elevation readings fall between 200m and 800m in the elevation_m column, and second, what the sequential change is between consecutive rows — can you run that analysis on my supplied records?"}],"resultDescription":"Returns two analytical reports: (1) a numeric interval filter report showing which of the supplied elevation sample rows have the selected field (elevation_m or sample_weight) within the specified minimum–maximum bounds, and (2) an adjacent row changes report showing the difference between consecutive row values for the chosen field. Both reports operate on the same supplied dataset of up to 200 rows without any external data lookup.","failureModes":["More than 200 rows supplied — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row validation failure","Missing required fields (row_id, station_group, date, elevation_m, sample_weight) causes row rejection","Minimum greater than maximum bound produces empty interval filter result","Non-numeric or null values in the selected field may be excluded from computations","Field enum value not matching 'elevation_m' or 'sample_weight' causes an input validation error"],"whenToPreferThis":"Choose this endpoint when you have a local dataset of elevation samples (up to 200 rows) and need both a numeric range filter and adjacent/sequential row change analysis in a single call. It is ideal for offline or supplied-data scenarios where no live elevation lookup, external API call, or prediction is needed. Prefer this over general-purpose analytics services when your data matches the elevation_m and sample_weight schema and you need two bundled reports cheaply ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:35.391Z","isFirstParty":false,"canonicalSlug":"elevation-samples-numeric-interval-filter-adjacent-row-changes-cae6decb"}