{"uid":"cap_3-G3gZkIc3apfGNYEQpA7","slug":"sampling-observations-numeric-distribution-numeric-row-ordering-e3f7deb2","name":"Sampling Observations — Numeric Distribution + Numeric Row Ordering","description":"Sampling observations — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering 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-15-073?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_wbGnSPC4uZ_bVJa7097sb","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 numeric distribution statistics and numeric row ordering for up to 200 supplied sampling observations (sample_value, sample_weight) in two independent analytical reports.","exampleAgentPrompt":"I have 150 sampling observations with sample values and weights across two groups, group-a and group-b, collected daily from 2026-10-01 to 2027-02-27 — can you run the numeric distribution and row ordering reports on the sample_value field for me?","exampleUseCases":[{"title":"Survey response weight analysis","prompt":"I have 80 survey responses with sample_value representing scores and sample_weight representing respondent weight — can you compute the numeric distribution and row ordering reports on the sample_weight field so I can see how weights are spread and ranked?"},{"title":"A/B test measurement ranking","prompt":"Here are 120 rows of A/B test observations split into group-a and group-b with daily dates and numeric sample values — please run the numeric distribution and numeric row ordering analysis on sample_value so I can see the spread and ranked order of results."},{"title":"Quality control sample scoring","prompt":"I have 200 quality control samples from two production lines, each with a sample_value score and a sample_weight — run the distribution and row ordering reports on sample_value so I can identify how scores are distributed and which rows rank highest."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report covering statistical spread, percentiles, and frequency characteristics of the selected field; and (2) a numeric row ordering report ranking all supplied rows by the selected field value. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows supplied — request rejected, maxItems is 200","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) — validation error","Invalid date format (must be YYYY-MM-DD) — pattern mismatch error","sample_value or sample_weight out of allowed range (-1e12 to 1e12) — validation error","Invalid field selector (must be 'sample_value' or 'sample_weight') — enum error","All null values for selected field — distribution report may be empty or degenerate"],"whenToPreferThis":"Choose this endpoint when you have up to 200 tabular sampling observations and need both a numeric distribution analysis and a row-level numeric ordering in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical use cases on supplied data where no live data lookup, prediction, or external enrichment is needed. Prefer this over general-purpose analytics APIs when you want two bundled reports (distribution + ordering) on weighted sample data without setting up a full analytics pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:53.026Z","isFirstParty":false,"canonicalSlug":"sampling-observations-numeric-distribution-numeric-row-ordering-e3f7deb2"}