{"uid":"cap_zkoH6nHB4XpiTKRHE6Dgw","slug":"sampling-observations-record-quality-audit-string-normalisation-0bd48990","name":"Sampling Observations — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean","description":"Sampling observations — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied sampling observations records (sample_value, sample_weight). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-205?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_GE27a1KssZEHGoPsJhGEr","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 three local analytical reports on supplied sampling observation rows: a record quality audit, string normalisation, and a secondary-measure weighted mean calculation.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and secondary-measure weighted mean on 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 sample_value 20 and sample_weight 2 in group-b, row-3 on 2026-10-03 with sample_value 15 and sample_weight 3 in group-a, and row-4 on 2026-10-04 with sample_value 30 and sample_weight 4 in group-b.","exampleUseCases":[{"title":"Survey data quality check","prompt":"I've got 50 rows of survey sampling observations with sample_value and sample_weight fields — can you run a quality audit to flag any bad records, normalise the string fields, and calculate a weighted mean of the sample values across all rows?"},{"title":"Weighted mean for A/B test samples","prompt":"I have two groups of sampling observations from our A/B test (group-a and group-b), each with sample values and weights. Please audit the record quality, normalise any string fields, and give me the secondary-measure weighted mean for the sample_value field across up to 80 rows."},{"title":"Pre-analysis data cleaning for sampling dataset","prompt":"Before I analyse this dataset, can you do a record quality audit, string normalisation, and weighted mean computation on these 120 sampling observation rows? Each row has a row_id, date, dataset_group, sample_value, and sample_weight."}],"resultDescription":"Returns three independent analytical reports for the supplied sampling observation rows: (1) a record quality audit flagging data issues, (2) string normalisation results for text fields, and (3) a secondary-measure weighted mean computed from sample_value weighted by sample_weight. All analysis is performed locally with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) — schema validation error","sample_value or sample_weight out of allowed numeric range — validation failure","Missing required fields (row_id, dataset_group, date) — schema rejection","Invalid field enum value — request error"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and weighted mean — on sampling observation data in a single cost-efficient call. Ideal when you have up to 200 rows of data with sample_value and sample_weight fields and want offline local computation without any external API calls or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:21.274Z","isFirstParty":false,"canonicalSlug":"sampling-observations-record-quality-audit-string-normalisation-0bd48990"}