{"uid":"cap_VpO0LxuqeofA9ZhXT_8rA","slug":"sampling-observations-numeric-distribution-secondary-measure-weighted-ada0dd10","name":"Sampling Observations — Numeric Distribution + Secondary-Measure Weighted Mean","description":"Sampling observations — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean 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-15-082?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_BLcJGHPanJbQmXhMzUTQ3","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 secondary-measure weighted mean for up to 200 supplied sampling observation records (sample_value, sample_weight).","exampleAgentPrompt":"Can you compute the numeric distribution and weighted mean for my sampling observations? I have 4 rows — row-1 on 2026-10-01 with sample_value 10 and sample_weight 1 in group-a, row-2 on 2026-10-02 with value 20 and weight 2 in group-b, row-3 on 2026-10-03 with value 15 and weight 3 in group-a, and row-4 on 2026-10-04 with value 30 and weight 4 in group-b — run both the distribution and the secondary-measure weighted mean reports on sample_value.","exampleUseCases":[{"title":"Survey response weighted analysis","prompt":"I have survey response data with 50 rows — each has a date, a respondent ID, a numeric score as sample_value, and a respondent-population weight as sample_weight across two groups. Can you give me the numeric distribution and weighted mean for the sample_value field so I know how scores are spread and what the population-weighted average looks like?"},{"title":"Product quality sampling audit","prompt":"I've collected 120 quality measurement samples from two production lines — each row has a date, row ID, the measured defect count as sample_value, and the batch size as sample_weight. Run both the numeric distribution and the secondary-measure weighted mean report on sample_value so I can see the spread and the batch-size-adjusted average defect rate."},{"title":"Clinical trial dosage distribution review","prompt":"We have 80 patient records from a clinical trial — each has a patient ID, trial date, dosage administered as sample_value, and body weight as sample_weight, split across two patient groups. Please compute the numeric distribution and the weight-adjusted mean for sample_value across all rows so we can understand dosage spread and the body-weight-corrected average."}],"resultDescription":"Two analytical reports for the supplied sampling observation rows: (1) a numeric distribution breakdown of the selected field (sample_value or sample_weight), and (2) a secondary-measure weighted mean where sample values are averaged weighted by the sample_weight field. Results are computed locally from supplied data only — no external lookup or live data.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) causes rejection","Values outside allowed numeric range (±1,000,000,000,000) fail schema validation","Invalid date format (not YYYY-MM-DD) causes schema rejection","Empty rows array returns an error","Null values in sample_value or sample_weight may affect distribution and weighted mean calculations"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of sampling observation data and need both a numeric distribution report and a secondary-measure weighted mean in a single cost-efficient call ($0.01 USDC for both reports). Ideal when sample_weight is a meaningful secondary dimension (e.g. population size, batch size, body weight) that should influence the mean. Prefer over general-purpose analytics tools when working with structured sampling datasets that already include explicit weight fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:41.951Z","isFirstParty":false,"canonicalSlug":"sampling-observations-numeric-distribution-secondary-measure-weighted-ada0dd10"}