{"uid":"cap_sRChaKtAD50o-nbbC_Aje","slug":"elevation-samples-numeric-interval-filter-daily-sum-series-86081466","name":"Elevation Samples — Numeric Interval Filter + Daily Sum Series","description":"Elevation samples — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum 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-13-125?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_oT1-JxsejQq1vKS4Y1vzi","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 offline analytical reports on supplied elevation sample records: a numeric interval filter (isolating rows within a value range) and a daily sum series aggregation, for up to 200 rows.","exampleAgentPrompt":"I have 50 elevation sample records with dates, station groups, elevation_m and sample_weight — can you run the interval filter report keeping only rows where elevation_m is between 0 and 100, and also produce the daily sum series for elevation_m across all dates?","exampleUseCases":[{"title":"Filtering outlier elevation readings","prompt":"Here are 120 elevation readings from our field stations — filter out any rows where elevation_m falls outside the range 5 to 500, and also give me the daily summed elevation_m so I can see the trend over time."},{"title":"Daily weight totals for station group","prompt":"I've got 80 elevation sample records tagged by station group and date. Run the numeric interval filter on sample_weight between 0.5 and 50, and generate the daily sum series for sample_weight so I can see which days had the highest total weight."},{"title":"QA check on elevation sensor batch","prompt":"We collected 200 sensor readings of elevation_m and sample_weight across October. Can you filter down to records where elevation_m is between -10 and 200 and give me a daily summed report for elevation_m to spot any anomalous days?"}],"resultDescription":"Returns two analytical reports computed locally on the submitted data: (1) a filtered subset of the input rows where the chosen numeric field (elevation_m or sample_weight) falls within the specified minimum–maximum interval, and (2) a daily sum series aggregating the chosen field totals by date across all submitted rows. Up to 200 input rows supported per call.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required row fields (row_id, date, elevation_m, sample_weight, station_group) cause validation errors","Invalid date format (must match YYYY-MM-DD) causes schema rejection","Minimum greater than maximum may return empty interval filter results","Null numeric values in elevation_m or sample_weight may be excluded from aggregations","Field enum value not 'elevation_m' or 'sample_weight' causes validation failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 elevation sample records already in hand (no live lookup needed) and need two specific offline analytics in one call: a numeric range filter and a daily sum time series. Prefer this over general-purpose analytics tools when you want a simple, low-cost ($0.01) deterministic computation on structured elevation/weight data without any external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:17.409Z","isFirstParty":false,"canonicalSlug":"elevation-samples-numeric-interval-filter-daily-sum-series-86081466"}