{"uid":"cap_S1blu0IMJDFnHMZSXTvH0","slug":"sampling-observations-daily-sum-series-with-missing-value-fill-ba29cc9b","name":"Sampling Observations Daily Sum Series with Missing-Value Fill","description":"Sampling observations — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill for supplied sampling observations records (sample_value, sample_weight). 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-analytics-15-145?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","sample_value","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},"sample_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","sample_value":10,"dataset_group":"group-a","sample_weight":1},{"date":"2026-10-02","row_id":"row-2","sample_value":20,"dataset_group":"group-b","sample_weight":2},{"date":"2026-10-03","row_id":"row-3","sample_value":15,"dataset_group":"group-a","sample_weight":3},{"date":"2026-10-04","row_id":"row-4","sample_value":30,"dataset_group":"group-b","sample_weight":4}],"maxItems":200,"minItems":1},"field":{"enum":["sample_value","sample_weight"],"type":"string","default":"sample_value"},"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_xYes1B6HeOznsxiXCguGg","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 series and fills missing values (zero, mean, or median) for up to 200 sampling observation records with sample_value and sample_weight fields.","exampleAgentPrompt":"I have up to 200 sampling observation rows with dates, sample_value, and sample_weight — can you compute the daily sum series and fill any missing sample_value entries using median imputation, then give me the two analytical reports?","exampleUseCases":[{"title":"Daily sales sample aggregation with gap fill","prompt":"I've got a dataset of daily sales observations with some missing values — each row has a date, row_id, dataset_group, sample_value, and sample_weight. Can you compute the daily sum series for sample_value and fill in the missing entries using median so I have a complete picture?"},{"title":"Weighted survey response roll-up","prompt":"I have 150 survey response records grouped by date and region, and several sample_weight values are null. Can you aggregate the sample_weight field into a daily sum series and fill those nulls with zero so I can compare regions without gaps?"},{"title":"IoT sensor reading daily totals","prompt":"My IoT sensor data has up to 200 rows with dates and sample_value readings, but there are missing readings on certain days. Please compute the daily sum series for sample_value, use mean to fill the missing ones, and give me the two summary reports."}],"resultDescription":"Returns two analytical reports: (1) the daily sum series for the selected field (sample_value or sample_weight) aggregated by date, and (2) a version with explicit missing values filled using the chosen method (zero, mean, or median), all derived locally from the supplied rows without external data lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) — validation error","Date values not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside ±1,000,000,000,000 range — rejected","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you need to both aggregate daily sums from sampling observation records AND handle missing data in a single call, especially when you want two complementary reports (raw sums + filled sums) at minimal cost ($0.01 USDC). Best suited for offline/batch analytical tasks on datasets up to 200 rows where no live external data or predictions are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:07.209Z","isFirstParty":false,"canonicalSlug":"sampling-observations-daily-sum-series-with-missing-value-fill-ba29cc9b"}