{"uid":"cap_sATbH4TRT8cwtlWrFMSfz","slug":"sampling-observations-record-quality-audit-duplicate-key-report-6e55695b","name":"Sampling Observations — Record Quality Audit + Duplicate Key Report","description":"Sampling observations — Record quality audit + Duplicate key report: Record quality audit + Duplicate key report 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-15-003?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}}},"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_8xLzXeJgvjIyhFL_nV4tR","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 independent analytical reports (record quality audit and duplicate key detection) on up to 200 sampling observation rows containing sample_value and sample_weight fields.","exampleAgentPrompt":"Can you run a record quality audit and duplicate key check on these 150 sampling observation rows I have — each row has a row_id, dataset_group, date, sample_value, and sample_weight — and tell me which records are problematic or duplicated?","exampleUseCases":[{"title":"Pre-analysis sampling data validation","prompt":"I have 80 rows of sampling observations from our survey — each has a row_id, dataset_group, date, sample_value, and sample_weight. Can you audit them for quality issues and flag any duplicate keys before I run my analysis?"},{"title":"Catching duplicate entries in weighted samples","prompt":"We just exported 120 rows of weighted sampling data and I suspect there are duplicate row IDs mixed in. Can you run the duplicate key report and quality audit on these rows so I can clean them up?"},{"title":"Data pipeline QA for grouped observations","prompt":"Before we load these 200 sampling observation records into our database, can you check them for record quality problems and any duplicate keys — the rows include group labels, dates, sample values, and weights?"}],"resultDescription":"Returns two independent reports: (1) a record quality audit identifying malformed, missing, or out-of-range values across the supplied rows, and (2) a duplicate key report flagging rows with repeated row_id or key combinations — all computed locally from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows causes rejection or truncation","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) causes validation errors","Malformed date strings not matching YYYY-MM-DD pattern are rejected","sample_value or sample_weight outside ±1,000,000,000,000 range causes schema rejection","Empty rows array (minItems:1 not met) returns error","Payment failure via x402 protocol blocks execution"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous quality checks — record-level audit plus duplicate key detection — on sampling observation data (with sample_value and sample_weight fields) in a single low-cost call. Ideal for pre-processing pipelines where you want to validate data quality and detect duplicates before downstream analysis, without needing live lookups or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:10.263Z","isFirstParty":false,"canonicalSlug":"sampling-observations-record-quality-audit-duplicate-key-report-6e55695b"}