{"uid":"cap_fsBpeL-1pz7iIZ3yMpfGI","slug":"sampling-observations-record-quality-audit-grouped-numeric-summary-d8a8826d","name":"Sampling Observations — Record Quality Audit + Grouped Numeric Summary","description":"Sampling observations — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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-15-005?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_QWJVONajOOmcd3tMu5wL3","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":"Runs two local analytical reports on up to 200 sampling observation rows: a data quality audit and a group-level numeric summary of sample_value or sample_weight fields.","exampleAgentPrompt":"Can you run a record quality audit and a grouped numeric summary on my sampling observations? I have up to 50 rows with row_id, dataset_group, date, sample_value, and sample_weight — please analyze the sample_value field.","exampleUseCases":[{"title":"Survey sample quality check","prompt":"I have 80 rows of survey sampling data with sample values and weights assigned to groups A, B, and C — can you audit them for data quality issues and give me a grouped numeric summary of the sample_value field?"},{"title":"Weighted sample group comparison","prompt":"Run a grouped numeric summary on my 120 sampling observation rows using the sample_weight field — I want to see how the weights differ across my dataset groups and whether there are any quality problems."},{"title":"Pre-analysis data validation","prompt":"Before I run my main analysis, can you do a quality audit and group-level numeric summary on these 40 sampling records I'm about to use? I need to check for missing values and see the distribution of sample_value across groups."}],"resultDescription":"Returns two reports: (1) a record quality audit identifying missing, null, or out-of-range values per row, and (2) a grouped numeric summary with descriptive statistics (e.g. count, mean, min, max) for the chosen field (sample_value or sample_weight) broken down by dataset_group. All computation is performed locally with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows causes a validation error","Invalid date format (not YYYY-MM-DD) causes rejection","row_id missing or empty string causes schema error","sample_value or sample_weight outside ±1,000,000,000,000 range causes rejection","Invalid field enum value (not 'sample_value' or 'sample_weight') causes error","Additional properties in row objects cause schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a grouped numeric summary in one call for up to 200 sampling observation rows with sample_value and sample_weight fields. It is ideal for pre-analysis validation of survey or measurement datasets grouped by category, where no live data lookup or prediction is needed and cost efficiency matters ($0.01 for two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:58.706Z","isFirstParty":false,"canonicalSlug":"sampling-observations-record-quality-audit-grouped-numeric-summary-d8a8826d"}