{"uid":"cap_WyQdzbLSKShJfFgK93sqo","slug":"sampling-observations-numeric-distribution-base-100-series-analytics-3a6232ef","name":"Sampling Observations — Numeric Distribution + Base-100 Series Analytics","description":"Sampling observations — Numeric distribution + Base-100 series: Numeric distribution + Base-100 series 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-15-078?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"},"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_WWNukZ02-1oPN1S6AiMUF","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 numeric distribution statistics and a base-100 indexed series for up to 200 user-supplied weighted sampling observation rows, returning two analytical reports.","exampleAgentPrompt":"Can you run a numeric distribution analysis and a base-100 series on my sampling data? I have 4 rows with sample_values of 10, 20, 15, and 30, sample_weights of 1, 2, 3, and 4, dated from 2026-10-01 to 2026-10-04, and I want to analyze the sample_value field with the base index set to 0 (row-1).","exampleUseCases":[{"title":"Survey response distribution analysis","prompt":"I've got 150 survey responses with numeric scores and response weights — can you compute the full numeric distribution and a base-100 series for those sample_value scores, using the first row as the base index?"},{"title":"Sales sample comparison across groups","prompt":"I have weekly sales sample data across two product groups, about 80 rows total, with values and weights — can you run a distribution report and index the sample_weight field to base-100 starting from row index 0?"},{"title":"Quality control measurement spread","prompt":"I have 200 manufacturing measurements with associated sample weights and I need to understand their distribution shape and how they trend relative to the first measurement — can you give me both the numeric distribution and base-100 series for sample_value?"}],"resultDescription":"Returns two analytical reports for the submitted rows: (1) a numeric distribution report showing statistical spread, frequencies, and shape of the selected field values weighted by sample_weight; and (2) a base-100 indexed series showing each row's value relative to the chosen base row, all computed locally without any external data lookup.","failureModes":["Fewer than 1 or more than 200 rows submitted — rejected with validation error","Invalid date format (not YYYY-MM-DD) on any row — schema validation failure","sample_value or sample_weight outside ±1,000,000,000,000 range — rejected","base_index pointing to a row index beyond the supplied row count — out-of-bounds error","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) on any row — validation error","Payment of 0.01 USDC not fulfilled via x402 protocol — payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 user-supplied weighted sampling observations and need both a numeric distribution report and a base-100 indexed time series in a single low-cost API call. Ideal for offline/local analytical computation where no live data lookup, prediction, or external enrichment is needed. At $0.01 per call covering two reports, it is cost-efficient for lightweight statistical summarization of small-to-medium sample datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:09.229Z","isFirstParty":false,"canonicalSlug":"sampling-observations-numeric-distribution-base-100-series-analytics-3a6232ef"}