{"uid":"cap_ryxVghpvStMamaLmBf4_2","slug":"sampling-observations-record-quality-audit-numeric-distribution-741ac9ac","name":"Sampling Observations — Record Quality Audit + Numeric Distribution","description":"Sampling observations — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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-15-004?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_QSQ1gdK-SFN_lUfKTYonH","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 a record quality audit and numeric distribution analysis on up to 200 sampling observation rows (sample_value, sample_weight) using local analytical engines.","exampleAgentPrompt":"Can you run a record quality audit and numeric distribution analysis on my sampling observations? I have 200 rows with sample_value and sample_weight fields — I want to check the sample_value column specifically.","exampleUseCases":[{"title":"Survey data quality check","prompt":"I've got a batch of survey sampling records with sample_value and sample_weight columns — can you audit them for quality issues and show me the numeric distribution of sample_value across all 150 rows?"},{"title":"Weighted sample profiling","prompt":"Before I run my weighted analysis, audit my 80 sampling observation rows for record quality problems and give me a distribution breakdown of the sample_weight field."},{"title":"Multi-group sampling validation","prompt":"I have sampling data split across two dataset groups, about 120 rows total with sample_value and sample_weight — can you run a quality audit and numeric distribution report on the sample_value field so I can spot any anomalies?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, and formatting problems across the submitted rows; and (2) a numeric distribution analysis (e.g. min, max, mean, percentiles, spread) for the selected field (sample_value or sample_weight). Both reports are computed locally with no external lookups.","failureModes":["Input array exceeds 200 rows — rejected with validation error","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause row-level rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside ±1,000,000,000,000 bounds are rejected","Empty rows array returns an error","Payment failure via x402 protocol prevents endpoint access"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a numeric distribution profile on sampling observation data in a single low-cost call. It is ideal for pre-analysis data validation workflows where sample_value and sample_weight are the core fields, and you want offline, deterministic analysis without any live lookup, prediction, or external data enrichment. Best suited for datasets up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:49.706Z","isFirstParty":false,"canonicalSlug":"sampling-observations-record-quality-audit-numeric-distribution-741ac9ac"}