{"uid":"cap_YL21GrcgA6J_PON30irqD","slug":"elevation-samples-record-quality-audit-string-normalisation-grouped-0618cfe7","name":"Elevation Samples — Record Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Elevation samples — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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-13-194?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_9q99vKfzzoKTHdKS-ghH_","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 local analytical reports on elevation sample records: a record quality audit, string normalisation, and grouped numeric summary for up to 200 rows.","exampleAgentPrompt":"Can you audit the quality of my elevation sample records, normalise the station group strings, and give me a grouped numeric summary of elevation_m? I have up to 50 rows with fields row_id, station_group, date, elevation_m, and sample_weight — here's the data.","exampleUseCases":[{"title":"Pre-analysis elevation data quality check","prompt":"I have 120 rows of elevation sensor readings with station_group, date, elevation_m, and sample_weight. Can you run a record quality audit on them and flag any bad or incomplete records before I use them in my model?"},{"title":"Grouped elevation statistics by station","prompt":"I need a grouped numeric summary of my elevation_m readings broken down by station_group. Here are 80 sample records with row_id, station_group, date, elevation_m, and sample_weight — please compute the group-level stats."},{"title":"String normalisation for station labels","prompt":"My elevation dataset has inconsistent station_group labels — mixed casing, extra spaces, etc. Can you normalise those strings and also give me a data quality audit across the 60 rows I'll send?"}],"resultDescription":"Returns three reports for the submitted elevation sample records: (1) a record quality audit identifying missing, invalid, or malformed entries; (2) normalised versions of string fields such as station_group; and (3) a grouped numeric summary of the selected numeric field (elevation_m or sample_weight) aggregated by station_group. All processing is done locally with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, station_group, date, elevation_m, sample_weight) on any row causes rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Null numeric values are accepted but may affect summary statistics","Payment not included or insufficient USDC causes 402 response"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality audit, string normalisation, and grouped numeric summary on elevation sample data in a single $0.01 call, without requiring any live data lookup or external computation. It is well suited for pre-processing pipelines where you want to validate, clean, and summarise up to 200 elevation records in one step.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:39:43.472Z","isFirstParty":false,"canonicalSlug":"elevation-samples-record-quality-audit-string-normalisation-grouped-0618cfe7"}