{"uid":"cap_NA45pelc3Pi5ewf_JeR20","slug":"sampling-observations-analytics-adjacent-row-changes-two-measure-375de3e4","name":"Sampling Observations Analytics: Adjacent Row Changes + Two-Measure Correlation","description":"Sampling observations — Adjacent row changes + Two-measure correlation: Adjacent row changes + 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-15-158?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_9dc6PHixBjTh1QBljybN5","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 adjacent row changes and two-measure correlation for up to 200 supplied sampling observation records (sample_value, sample_weight) in two independent reports.","exampleAgentPrompt":"Can you run adjacent row change analysis and two-measure correlation on these sampling observations I have — up to 200 rows with sample_value and sample_weight fields — and give me both statistical reports?","exampleUseCases":[{"title":"Survey weight trend detection","prompt":"I have 150 survey response rows, each with a date, sample_value, and sample_weight. Can you check how the sample_value changes between adjacent rows and whether sample_value and sample_weight are correlated?"},{"title":"Lab sample sequential drift analysis","prompt":"Here are 80 lab measurement records with dates and sample values and weights — can you compute the adjacent row changes and the correlation between those two measures so I can spot any drift?"},{"title":"Quality control observation review","prompt":"I've got 200 quality control observations with sample_value and sample_weight across two dataset groups. Please run the adjacent row changes report and the two-measure correlation report on this data."}],"resultDescription":"Two independent analytical reports: (1) adjacent row changes showing how sample_value or sample_weight shifts between consecutive rows, and (2) a two-measure correlation quantifying the statistical relationship between sample_value and sample_weight across the supplied dataset, covering up to 200 rows.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) cause validation errors","Date field not matching YYYY-MM-DD format causes schema rejection","sample_value or sample_weight outside ±1,000,000,000,000 range causes validation error","Too few rows (minItems:1 violated) results in error","Null values in both measure columns may produce undefined correlation output"],"whenToPreferThis":"Choose this endpoint when you have raw sampling observation records (with sample_value and sample_weight fields) and need both an adjacent-row sequential change analysis and a two-measure correlation in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want local analytical computation without any external data lookup, prediction, or real-time enrichment. Prefer this over general-purpose statistics tools when you need exactly these two paired reports on structured sampling data at minimal cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:54.462Z","isFirstParty":false,"canonicalSlug":"sampling-observations-analytics-adjacent-row-changes-two-measure-375de3e4"}