{"uid":"cap_0IRzWjwk6uEdRTrYgIqai","slug":"sampling-observations-record-quality-audit-exact-row-deduplication-c70b08b0","name":"Sampling Observations — Record Quality Audit + Exact Row Deduplication","description":"Sampling observations — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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-15-002?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_CXAvlv6ExR2fbGDMeBGN2","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 two-report local analysis on up to 200 sampling observation rows: a record quality audit and exact row deduplication, using only supplied data with no external lookups.","exampleAgentPrompt":"Can you run a quality audit and exact duplicate check on my sampling observations? I have about 50 rows with fields like row_id, dataset_group, date, sample_value, and sample_weight — I want two reports: one flagging record quality issues and one identifying any exact duplicate rows.","exampleUseCases":[{"title":"Pre-analysis data hygiene check","prompt":"Before I run my analysis, can you audit these 120 sampling observation records for quality issues and flag any exact duplicates? Each row has a row_id, dataset_group, date, sample_value, and sample_weight."},{"title":"Survey sample deduplication","prompt":"I collected survey responses with sample values and weights across two groups — can you check my 80 rows for exact duplicate records and also give me a quality report on the data?"},{"title":"Experiment result validation","prompt":"I have 45 rows of experiment sample observations and I want to make sure there are no data quality problems or repeated rows before I proceed — can you run both a record quality audit and a deduplication check?"}],"resultDescription":"Two independent analytical reports generated from the supplied rows: (1) a record quality audit highlighting issues such as nulls, out-of-range values, or malformed fields in sample_value and sample_weight; and (2) an exact row deduplication report identifying rows that are identical across all fields. No external data is fetched; all analysis is performed locally on the provided records.","failureModes":["Submitting more than 200 rows returns a validation error","Rows missing required fields (row_id, date, sample_value, sample_weight, dataset_group) will be rejected","Dates not matching YYYY-MM-DD pattern will fail schema validation","Values outside the allowed numeric range (-1e12 to 1e12) will be rejected","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need fast, local, privacy-preserving data quality checks on sampling observation records specifically structured with sample_value and sample_weight fields. It is ideal when you want two distinct reports (quality audit + deduplication) in a single inexpensive call without any external lookup or prediction. Best suited for datasets of up to 200 rows where the goal is pre-analysis hygiene or validation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:13.124Z","isFirstParty":false,"canonicalSlug":"sampling-observations-record-quality-audit-exact-row-deduplication-c70b08b0"}