{"uid":"cap_2zX1FNosG68nFVw9y_Ef0","slug":"snow-observations-duplicate-key-report-base-100-series-a1e3e5d1","name":"Snow Observations — Duplicate Key Report + Base-100 Series","description":"Snow observations — Duplicate key report + Base-100 series: Duplicate key report + Base-100 series 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-09-063?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_sn72ZuRjmRbWHODjIZmPD","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":"Analyzes up to 200 snow observation records (snow_depth_cm, snowfall_cm) to produce a duplicate key report and a Base-100 indexed time series for a chosen field.","exampleAgentPrompt":"Check my snow observation records for duplicate station/date keys and also build a Base-100 series on snow_depth_cm using row index 0 as the base — here are 4 rows: row-1 on 2026-10-01 for group-a with depth 10cm and snowfall 1cm, row-2 on 2026-10-02 for group-b with depth 20cm and snowfall 2cm, row-3 on 2026-10-03 for group-a with depth 15cm and snowfall 3cm, row-4 on 2026-10-04 for group-b with depth 30cm and snowfall 4cm.","exampleUseCases":[{"title":"Audit station snow records for duplicates","prompt":"I have 50 daily snow observation records from two station groups and I need to know if any station/date combinations are repeated — can you run a duplicate key report on them? The rows include row_id, station_group, date, snow_depth_cm, and snowfall_cm fields."},{"title":"Base-100 indexing for seasonal snow depth","prompt":"Take my snow depth readings across 120 days and normalize them to a Base-100 series using the first row as the reference point — I want to compare relative changes in snow_depth_cm over the season across different station groups."},{"title":"Data quality check before snow analytics pipeline","prompt":"Before I run my winter analytics, can you scan these 180 snow observation rows for any duplicate station/date keys and also produce a Base-100 indexed series on snowfall_cm starting from base index 0? I want both reports in one pass."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows sharing the same station_group and date combination, and (2) a Base-100 indexed series for the chosen field (snow_depth_cm or snowfall_cm) relative to the specified base row index. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, station_group, date, snow_depth_cm, snowfall_cm) causes rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","base_index out of range (0–199) or pointing beyond actual row count causes error","Null numeric values may affect Base-100 series computation","Payment failure (insufficient USDC balance) blocks the request"],"whenToPreferThis":"Choose this endpoint when you have snow observation tabular data (up to 200 rows) and need both a duplicate key audit and a Base-100 normalized series in a single cheap API call. It is ideal for pre-pipeline data quality checks on snow depth and snowfall measurements, or when you need to index seasonal snow readings relative to a reference point without any external data source or live weather lookup.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:48:42.211Z","isFirstParty":false,"canonicalSlug":"snow-observations-duplicate-key-report-base-100-series-a1e3e5d1"}