{"uid":"cap_ApJVHM23wgA_FWGanGlX5","slug":"snow-observations-record-quality-audit-date-by-category-pivot-8e2e165d","name":"Snow Observations — Record Quality Audit + Date-by-Category Pivot","description":"Snow observations — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied snow observations records (snow_depth_cm, snowfall_cm). 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-09-017?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","snow_depth_cm","snowfall_cm"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"snowfall_cm":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"snow_depth_cm":{"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","snowfall_cm":1,"snow_depth_cm":10,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","snowfall_cm":2,"snow_depth_cm":20,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","snowfall_cm":3,"snow_depth_cm":15,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","snowfall_cm":4,"snow_depth_cm":30,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["snow_depth_cm","snowfall_cm"],"type":"string","default":"snow_depth_cm"}}},"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_LFWndBCw9QKSzn_Kn5fJX","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 supplied snow observation records: a record quality audit and a date-by-category pivot for snow_depth_cm or snowfall_cm fields.","exampleAgentPrompt":"Can you run a record quality audit and a date-by-category pivot on these snow observation rows — I have up to 50 records each with a row_id, station_group, date, snow_depth_cm, and snowfall_cm — and pivot on snow_depth_cm?","exampleUseCases":[{"title":"Winter station data quality check","prompt":"I have 80 rows of snow observation data from our weather stations with fields row_id, station_group, date, snow_depth_cm, and snowfall_cm. Can you audit the record quality and also give me a date-by-category pivot on snowfall_cm so I can see how readings break down across station groups over time?"},{"title":"Seasonal snowfall dataset validation","prompt":"We collected snowfall measurements across three monitoring groups for October and November — about 150 rows total. Please run a quality audit on the records and generate a date-by-category pivot for snow_depth_cm so we can spot gaps or outliers by group and date."},{"title":"Pre-analysis snow data sanity check","prompt":"Before I load this snow observation dataset into our model, can you audit the data quality and pivot the snow_depth_cm values by date and station_group? I've got around 30 rows with row_id, station_group, date, snow_depth_cm, and snowfall_cm fields."}],"resultDescription":"Returns two reports: (1) a record quality audit identifying issues such as missing values, malformed rows, or anomalies in the supplied snow observation records; (2) a date-by-category pivot table aggregating the selected snow metric (snow_depth_cm or snowfall_cm) across dates and station groups. Both reports are computed locally with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, station_group, date, snow_depth_cm, or snowfall_cm) cause row-level errors","Invalid date format (not YYYY-MM-DD) triggers validation failure","Empty rows array returns an error","Invalid field enum value causes report generation failure","Payment of 0.01 USDC not provided or rejected blocks execution"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a date-by-category pivot on snow observation records (snow_depth_cm and/or snowfall_cm) in a single call, with up to 200 rows, at minimal cost. It is ideal when no live data lookup, forecasting, or external data enrichment is needed — only local analytical computation on data you supply. Prefer alternatives if you need more than 200 rows, live weather data, or different output report types.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:50:45.193Z","isFirstParty":false,"canonicalSlug":"snow-observations-record-quality-audit-date-by-category-pivot-8e2e165d"}