{"uid":"cap_EY_BZl3ztnb4sP6EWfZL3","slug":"sampling-observations-string-normalisation-secondary-measure-weighted-13d658d6","name":"Sampling Observations — String Normalisation + Secondary-Measure Weighted Mean","description":"Sampling observations — String normalisation + Secondary-measure weighted mean: String normalisation + 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-15-034?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_FtHRmoQppVBmRmO0nFvso","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":"Performs string normalisation and secondary-measure weighted mean analytics on up to 200 supplied sampling observation records (sample_value, sample_weight), returning 2 independent local reports.","exampleAgentPrompt":"I have 4 sampling observations — 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 weight 2 in group-b, row-3 on 2026-10-03 value 15 weight 3 in group-a, row-4 on 2026-10-04 value 30 weight 4 in group-b — can you run string normalisation and a secondary-measure weighted mean on the sample_value field and give me both reports?","exampleUseCases":[{"title":"Survey response weighted scoring","prompt":"I've got 150 survey rows, each with a respondent ID, a date, a numeric response value and a confidence weight — can you run string normalisation plus a weighted mean on the response values across all my dataset groups and return both analytical reports?"},{"title":"Lab sample batch quality check","prompt":"Here are 80 lab sampling records grouped by experiment batch, each with a sample_value and a sample_weight measured on specific dates — please compute the secondary-measure weighted mean on sample_value and normalise the strings, and give me the two summary reports."},{"title":"Retail inventory sampling analysis","prompt":"I have daily inventory sampling observations for two store groups over the past month, up to 200 rows, with a sample_value for units and a sample_weight for store size — run the weighted mean on sample_value and the string normalisation report for me."}],"resultDescription":"Returns 2 analytical reports computed locally: (1) a string normalisation report applied to the submitted observation records, and (2) a secondary-measure weighted mean computed from the sample_value and sample_weight fields across up to 200 rows, grouped by dataset_group and date.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) — row-level validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","sample_value or sample_weight out of allowed numeric range (±1e12) — field validation error","Empty rows array — minItems constraint violation","Invalid field enum value (not 'sample_value' or 'sample_weight') — enum validation error"],"whenToPreferThis":"Choose this endpoint when you have pre-collected sampling observation records (up to 200 rows) and need both string normalisation and a secondary-measure weighted mean computed together in a single paid call, without requiring any live data lookup, prediction, or external integrations. It is cost-effective at $0.01 USDC for two bundled reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:25.785Z","isFirstParty":false,"canonicalSlug":"sampling-observations-string-normalisation-secondary-measure-weighted-13d658d6"}