{"uid":"cap_0e3W6OH_odSaYbwgu6FnQ","slug":"sampling-observations-numeric-row-ordering-two-measure-correlation-7c6c04b5","name":"Sampling Observations — Numeric Row Ordering + Two-Measure Correlation","description":"Sampling observations — Numeric row ordering + Two-measure correlation: Numeric row ordering + 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-15-120?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_aq6JWRsKd1LeUc-gv3pBM","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":"Analyzes up to 200 sampling observation rows by computing numeric row ordering and two-measure correlation between sample_value and sample_weight fields.","exampleAgentPrompt":"I have 4 sampling observations with dates, sample values, and weights — can you rank them numerically by sample_value and also compute the correlation between sample_value and sample_weight? The rows are: 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":"Weighted survey response ranking","prompt":"I have 50 survey responses with numeric scores and their respective weights — please rank them by score and tell me how correlated the scores are with the weights."},{"title":"Environmental sample ordering and correlation","prompt":"I've collected 120 soil sample measurements across two groups with dates, sample concentrations, and sampling weights. Can you order them numerically and check whether sample concentration correlates with sampling weight?"},{"title":"Clinical trial observation analysis","prompt":"I have 80 clinical trial observations across two treatment groups with measurement values and patient weights recorded by date — rank them numerically by measurement value and compute the correlation between measurement value and patient weight."}],"resultDescription":"Returns two analytical reports: (1) a numeric row ordering that ranks all submitted observation rows by the selected field (sample_value or sample_weight), and (2) a two-measure correlation report quantifying the statistical relationship between sample_value and sample_weight across all submitted rows. No external data is fetched; all analysis is performed on the supplied rows only.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause schema validation failure","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","Numeric values outside the allowed range (-1e12 to 1e12) are rejected","Submitting fewer than 1 row causes a minItems validation error","Correlation computation may be undefined or degenerate if all sample_values or all sample_weights are identical (zero variance)"],"whenToPreferThis":"Choose this endpoint when you have up to 200 sampling observation rows with both a sample_value and sample_weight and need two analytical outputs in a single call: numeric ranking of rows and a correlation measure between the two numeric fields. It is ideal for lightweight statistical summarization of survey, environmental, or scientific sample datasets without requiring external lookups or predictions. Prefer alternatives if you need grouped summaries, duplicate detection, category frequency counts, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:57.799Z","isFirstParty":false,"canonicalSlug":"sampling-observations-numeric-row-ordering-two-measure-correlation-7c6c04b5"}