{"uid":"cap_c0t3yN-dLQxpdjdY-WAsH","slug":"coordinate-quality-checks-daily-sum-series-explicit-missing-value-fill-2fb5fe05","name":"Coordinate Quality Checks — Daily Sum Series + Explicit Missing-Value Fill","description":"Coordinate quality checks — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill for supplied coordinate quality checks records (checked_points, flagged_points). 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-23-145?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","checked_points","flagged_points"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"station_group":{"type":"string","default":"","maxLength":80},"checked_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"flagged_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","station_group":"group-a","checked_points":10,"flagged_points":1},{"date":"2026-10-02","row_id":"row-2","station_group":"group-b","checked_points":20,"flagged_points":2},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","checked_points":15,"flagged_points":3},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","checked_points":30,"flagged_points":4}],"maxItems":200,"minItems":1},"field":{"enum":["checked_points","flagged_points"],"type":"string","default":"checked_points"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_lRAVFCCZTcVD29sgF6TiC","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":"Computes daily sum time series and fills missing values (zero, mean, or median) for coordinate quality check records with checked_points and flagged_points fields, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of coordinate quality check records with date, station_group, checked_points, and flagged_points — can you run a daily sum series and fill any missing flagged_points values using the median method, and give me two analytical reports?","exampleUseCases":[{"title":"Weather station QC monitoring dashboard","prompt":"I've got daily records from two station groups — group-a and group-b — spanning October with checked_points and flagged_points per day. Some values are missing. Can you compute the daily sum series for checked_points and fill the nulls using median imputation? I need two reports covering up to 150 rows."},{"title":"Flagged data anomaly trend analysis","prompt":"I'm tracking flagged_points across several station groups over the past month and want to see how the daily totals trend. Please run a daily sum aggregation on flagged_points and use zero fill for any missing entries — I have about 80 rows of QC records to analyze."},{"title":"QC dataset cleaning before export","prompt":"Before I export my coordinate quality check dataset, I need to fill missing checked_points values using the mean method and summarize the daily sums. Can you process my 120 rows of station group records — each has a date, row_id, station_group, checked_points, and flagged_points — and give me the two standard analytical reports?"}],"resultDescription":"Returns two analytical reports for the supplied coordinate quality check records: (1) a daily sum time series aggregating the target field (checked_points or flagged_points) by date, and (2) a dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Covers up to 200 input rows per call.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, checked_points, flagged_points) cause row-level errors","Invalid date format (not YYYY-MM-DD) causes parsing failure","Invalid method enum value (not zero/mean/median) causes validation error","Invalid field enum value (not checked_points/flagged_points) causes validation error","Payment of 0.01 USDC not settled — request blocked"],"whenToPreferThis":"Choose this endpoint when you have pre-collected coordinate quality check records (checked_points, flagged_points) per station group per date and need both a daily sum time series and explicit missing-value imputation in a single low-cost call ($0.01 USDC for two reports, up to 200 rows). It is a purely analytical, offline computation with no live data lookup, external calls, or side effects — ideal for batch QC auditing workflows where data is already gathered.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:10:33.841Z","isFirstParty":false,"canonicalSlug":"coordinate-quality-checks-daily-sum-series-explicit-missing-value-fill-2fb5fe05"}