{"uid":"cap_b5vJgyDyF3K4VxETlFpv6","slug":"sampling-observations-string-normalisation-two-measure-correlation-0c1db5b1","name":"Sampling Observations — String Normalisation + Two-Measure Correlation","description":"Sampling observations — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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-15-033?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}}},"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_xRsWLt3r4EAgjxKSH93x_","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 two-measure correlation analysis on up to 200 sampling observation rows (sample_value, sample_weight), returning two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation and two-measure correlation on these sampling observations — I have 4 rows with row IDs row-1 through row-4, dates from 2026-10-01 to 2026-10-04, dataset groups group-a and group-b, sample values 10, 20, 15, 30 and sample weights 1, 2, 3, 4?","exampleUseCases":[{"title":"Weighted survey sample correlation","prompt":"I have 150 survey responses with sample values and sample weights across several demographic groups — can you run string normalisation and two-measure correlation on them so I can see how the two measures relate?"},{"title":"Quality control batch analysis","prompt":"We've got 80 QC observations from this week across two production lines, each with a measurement value and a weighting factor — please run the two-report analysis: string normalisation and correlation between the two measures."},{"title":"Academic dataset correlation check","prompt":"I need to check the correlation between sample_value and sample_weight in my dataset of 60 labelled observations spanning October 2025 — can you normalise the strings and give me the two-measure correlation report?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation result for the supplied observation records and (2) a two-measure correlation analysis between sample_value and sample_weight, computed locally against the provided rows (up to 200). No external lookups or predictions are made.","failureModes":["More than 200 rows supplied — request will be rejected due to maxItems constraint","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors","Date fields not matching YYYY-MM-DD pattern will fail schema validation","Null values in sample_value or sample_weight may affect correlation computation quality","Payment not processed — x402 payment of 0.01 USDC required per call"],"whenToPreferThis":"Choose this endpoint when you need a combined string normalisation and two-measure (value/weight) correlation analysis delivered as two reports in a single low-cost call, without requiring live data lookups or external model predictions. Ideal for small-to-medium datasets (up to 200 rows) where local computation suffices and cost predictability matters ($0.01 USDC flat).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:20.408Z","isFirstParty":false,"canonicalSlug":"sampling-observations-string-normalisation-two-measure-correlation-0c1db5b1"}