{"uid":"cap_frJdQm5c2BjrQBLAd_cyQ","slug":"sampling-observations-record-quality-audit-secondary-measure-weighted-2e572d54","name":"Sampling Observations — Record Quality Audit + Secondary-Measure Weighted Mean","description":"Sampling observations — Record quality audit + Secondary-measure weighted mean: Record quality audit + 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-15-016?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_WWgidbgiTCSaPPual7UTb","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":"Runs two local analytical reports on user-supplied sampling observation rows: a data quality audit and a sample_weight-based weighted mean calculation.","exampleAgentPrompt":"Can you audit the quality of my sampling observation records and compute the weighted mean of sample_value using sample_weight? I have 4 rows: row-1 on 2026-10-01 in group-a with value 10 and weight 1, row-2 on 2026-10-02 in group-b with value 20 and weight 2, row-3 on 2026-10-03 in group-a with value 15 and weight 3, and row-4 on 2026-10-04 in group-b with value 30 and weight 4.","exampleUseCases":[{"title":"Survey data quality check","prompt":"I have 50 survey sample records with sample values and weights — can you run a quality audit on them and also compute the weighted mean of the sample_value field?"},{"title":"Weighted average for A/B test groups","prompt":"I've got two groups of experiment observations with sample values and weights — please compute the weighted mean using sample_weight and flag any quality issues in the data."},{"title":"Environmental sampling audit","prompt":"Here are 120 environmental sampling observation rows with dates, group labels, sample values, and weights — audit their data quality and give me the weighted mean of sample_value."}],"resultDescription":"Returns two independent reports: (1) a record quality audit identifying issues like missing values, invalid types, or malformed dates across the supplied rows; and (2) a weighted mean calculation for the specified field (sample_value or sample_weight) using the provided sample_weight values. Both reports are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) in any row","Date field not in YYYY-MM-DD format — rejected by pattern validation","Non-numeric values in sample_value or sample_weight fields","Empty rows array — minItems:1 not satisfied","Values outside allowed range (±1,000,000,000,000)"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit AND a weighted mean computation on the same set of sampling observations in a single API call, without any external lookup or prediction. It is ideal for small-to-medium datasets (up to 200 rows) where you want two analytical reports for a low flat cost. Prefer alternatives if you need rolling means, category frequency analysis, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:07.111Z","isFirstParty":false,"canonicalSlug":"sampling-observations-record-quality-audit-secondary-measure-weighted-2e572d54"}