{"uid":"cap_6IZgCP6Y9SbPm-zmzlptm","slug":"sampling-observations-record-quality-audit-numeric-row-ordering-dc0b1d45","name":"Sampling Observations — Record Quality Audit + Numeric Row Ordering","description":"Sampling observations — Record quality audit + Numeric row ordering: Record quality audit + 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-15-007?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_XMsR53PjZFifn4pf03_zB","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 numeric row ordering, covering sample_value and sample_weight fields.","exampleAgentPrompt":"Can you run a record quality audit and numeric row ordering on my sampling observations? I have 4 rows: row-1 (group-a, 2026-10-01, sample_value=10, sample_weight=1), row-2 (group-b, 2026-10-02, sample_value=20, sample_weight=2), row-3 (group-a, 2026-10-03, sample_value=15, sample_weight=3), and row-4 (group-b, 2026-10-04, sample_value=30, sample_weight=4) — order by sample_value.","exampleUseCases":[{"title":"Pre-analysis data quality check","prompt":"Before I run my survey analysis, can you audit these 50 sampling observation records for quality issues and rank them by sample_value? Here are the rows with their row IDs, groups, dates, sample values, and weights."},{"title":"Weighted sample ordering for reporting","prompt":"I need to order my sampling observations numerically by sample_weight and check the data quality — I have 120 rows across three dataset groups from Q3 2026, can you run both reports?"},{"title":"Detecting nulls in sample data","prompt":"Can you do a record quality audit on my sampling data to flag any null or missing sample_value entries, and also give me a numeric ordering of the rows? I have about 80 records from group-a and group-b."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit highlighting data issues such as nulls, out-of-range values, or completeness problems in the sample_value and sample_weight fields, and (2) a numeric row ordering that ranks and sequences the submitted rows by the selected numeric field (sample_value or sample_weight). All computation is performed locally with no external data access.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (non YYYY-MM-DD) causes row validation failure","Missing required fields (row_id, dataset_group, date) causes schema validation error","sample_value or sample_weight outside allowed range (-1e12 to 1e12) rejected","Empty rows array (minItems:1 not met) causes error","Invalid field enum value (not 'sample_value' or 'sample_weight') causes error"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality audit and numeric ordering report for sampling observation records (with sample_value and sample_weight fields), and you want both reports in a single $0.01 call for up to 200 rows with no external lookups or live data requirements. Prefer this over generic ETL tools when working specifically with grouped, dated sampling data and you need structured completeness and ranking outputs together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:23.920Z","isFirstParty":false,"canonicalSlug":"sampling-observations-record-quality-audit-numeric-row-ordering-dc0b1d45"}