{"uid":"cap_dglUb3puIEligXjpfhZIm","slug":"elevation-samples-record-quality-audit-string-normalisation-daily-sum-d496c5f7","name":"Elevation Samples — Record Quality Audit + String Normalisation + Daily Sum Series","description":"Elevation samples — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied elevation samples records (elevation_m, sample_weight). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-weather-13-198?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_F4CaRJ3NmUejOtlO9ls3k","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 three analytical reports (record quality audit, string normalisation, and daily sum series) on supplied elevation sample data with up to 200 rows, using local engines with no external lookups.","exampleAgentPrompt":"Can you run the three-report analysis on my elevation samples — quality audit, string normalisation, and daily sum series — for this dataset of up to 200 rows with fields row_id, station_group, date, elevation_m, and sample_weight, analysing the elevation_m field?","exampleUseCases":[{"title":"Elevation data quality check","prompt":"I have 150 rows of elevation sample readings with station groups and dates — can you audit them for record quality issues, normalise the station group strings, and give me a daily sum series for elevation_m?"},{"title":"Sample weight daily aggregation","prompt":"Run all three reports on my elevation samples dataset — quality audit, string normalisation, and daily sums — but this time aggregate on the sample_weight field instead of elevation_m."},{"title":"Pre-analysis dataset cleaning","prompt":"Before I run my terrain model, I need to check my 80-row elevation dataset for quality problems, fix up the station group string formatting, and get a daily sum breakdown — can you do all three at once?"}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit flagging issues in the supplied rows, (2) a string normalisation report for station_group and other string fields, and (3) a daily sum series aggregating the chosen numeric field (elevation_m or sample_weight) by date — all computed locally from the supplied data with no external lookups.","failureModes":["Input exceeds 200 rows — request rejected","Missing required fields (row_id, station_group, date, elevation_m, sample_weight) cause validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric fields out of accepted range cause validation failure","Empty rows array returns error","Payment not included or insufficient USDC causes 402 rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 elevation sample records and need all three of quality auditing, string normalisation, and daily sum aggregation in a single low-cost call ($0.01 USDC). Ideal for pre-processing terrain or environmental monitoring datasets locally without any external API dependencies or live data lookups. Not suitable if you need live elevation lookups, predictions, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:41:28.651Z","isFirstParty":false,"canonicalSlug":"elevation-samples-record-quality-audit-string-normalisation-daily-sum-d496c5f7"}