{"uid":"cap_oC2wR2yJzMiaOdnvKXQGJ","slug":"sampling-observations-analytics-numeric-distribution-date-by-category-1c8cab3d","name":"Sampling Observations Analytics — Numeric Distribution + Date by Category Pivot","description":"Sampling observations — Numeric distribution + Date by category pivot: Numeric distribution + 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-15-083?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_Pu4aRumdv0rd1l5nDO2Kb","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 sampling observation rows to produce two local reports: a numeric distribution summary and a date-by-category pivot table, using sample_value or sample_weight as the target field.","exampleAgentPrompt":"Can you run a numeric distribution report and a date-by-category pivot on these 12 sampling observation rows I have — each with a sample_value and sample_weight — grouping by dataset_group and analyzing the sample_value field?","exampleUseCases":[{"title":"Survey sample distribution analysis","prompt":"I have 150 survey response records with sample_value scores and sample_weight fields, each tagged with a group label and a date. Can you give me a numeric distribution breakdown and a date-by-category pivot for the sample_value field across all groups?"},{"title":"Quality control sampling pivot","prompt":"We collected 80 product quality measurements from two factory lines over the past month, each row has a date, a line group, a sample_value, and a sample_weight. Run both the numeric distribution and the date-by-category pivot reports on this data using sample_weight as the target field."},{"title":"Clinical trial sample statistics","prompt":"I've got 60 patient sample observations from three treatment groups, with a date and a numeric sample_value for each. Can you produce the numeric distribution report and the date-pivot-by-category breakdown so I can see how values are spread across groups and dates?"}],"resultDescription":"Returns two analytical reports computed locally on the supplied rows: (1) a numeric distribution summary for the chosen field (sample_value or sample_weight), showing spread, frequency, and statistical characteristics; and (2) a date-by-category pivot table crossing the date and dataset_group dimensions for the same field. No external lookups or predictions are made.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 bounds are rejected","Entirely null sample_value or sample_weight columns may yield empty or degenerate distribution output","Payment not included or insufficient USDC causes 402 error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of sampling observation data with category group labels and dates, and need both a numeric distribution breakdown and a date-by-category pivot in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics when your data fits the sampling observations schema (sample_value, sample_weight, dataset_group, date) and you want two bundled reports without external dependencies or live data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:53.026Z","isFirstParty":false,"canonicalSlug":"sampling-observations-analytics-numeric-distribution-date-by-category-1c8cab3d"}