{"uid":"cap_U5JvgpdMdJMpJ_Vgwl9WI","slug":"sampling-observations-daily-sum-series-date-by-category-pivot-71c93044","name":"Sampling Observations — Daily Sum Series + Date by Category Pivot","description":"Sampling observations — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot 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-15-143?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"}}},"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_b5nb8tiK6oNTSGjdq-Dyr","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 two analytical reports from supplied sampling observation rows: a daily sum time series and a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"I have up to 200 sampling observation rows with date, group, sample_value, and sample_weight columns — can you run the daily sum series and date-by-category pivot reports on the sample_value field for me?","exampleUseCases":[{"title":"Survey response daily trend analysis","prompt":"I've got 150 survey response rows, each with a date, a group label, and a numeric score. Can you give me the daily sum series and a pivot of scores by date and group, using the sample_value field?"},{"title":"Weighted clinical sample aggregation","prompt":"Here are my clinical sampling records — each row has a date, a cohort name, a measurement value, and a sample weight. Please compute the daily sum series and the date-by-cohort pivot for the sample_weight field across all 80 rows."},{"title":"Marketing campaign spend breakdown","prompt":"I have daily campaign spend observations split by channel group, up to 200 rows. Run both the daily sum series and the date-by-channel pivot on the sample_value field so I can see totals by day and by channel."}],"resultDescription":"Two analytical reports: (1) a daily sum time series showing aggregated totals of the chosen field (sample_value or sample_weight) per date across all rows, and (2) a date-by-category pivot table breaking down those totals by dataset_group per date. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors","Invalid date format (not YYYY-MM-DD) causes parsing failure","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 sampling observation records with date, group, and numeric value/weight fields and need both a daily aggregation time series and a category pivot table in a single low-cost call ($0.01 USDC for both reports). Prefer it over general-purpose analytics tools when you want a fast, self-contained computation on supplied data without any external data access or live prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:20.185Z","isFirstParty":false,"canonicalSlug":"sampling-observations-daily-sum-series-date-by-category-pivot-71c93044"}