{"uid":"cap_Z1Ly7LvQLxGXCsrOObNvB","slug":"sampling-observations-analytics-quality-audit-deduplication-interval-6a3042f7","name":"Sampling Observations Analytics: Quality Audit + Deduplication + Interval Filter","description":"Sampling observations — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter for supplied sampling observations records (sample_value, sample_weight). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-214?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_wEtuUD8fJG8W23BrWGkKk","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 three local analytical reports on sampling observation records: a record quality audit, exact row deduplication, and a numeric interval filter for sample_value or sample_weight fields.","exampleAgentPrompt":"Can you audit my sampling observations dataset for quality issues, flag any exact duplicate rows, and filter to only records where sample_value is between 0 and 500? Here are up to 200 rows with row_id, dataset_group, date, sample_value, and sample_weight fields.","exampleUseCases":[{"title":"Survey data quality check before analysis","prompt":"I have 150 rows of survey sampling data with sample_value and sample_weight columns — can you run a quality audit on them, flag any exact duplicates, and filter to only records where sample_value falls between 10 and 250?"},{"title":"Deduplication of ecological sample records","prompt":"Before I run my ecological study analysis, please check these sampling observation records for duplicate rows, audit them for quality issues, and give me a filtered view of records where sample_weight is between 0 and 100."},{"title":"Pre-processing validation for weighted sampling pipeline","prompt":"I need to validate this batch of up to 200 weighted sample observations before passing them downstream — run a record quality audit, deduplicate exact rows, and filter by sample_value between -50 and 1000 so I can see what's clean."}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit flagging missing, null, or malformed fields; (2) an exact row deduplication report identifying duplicate records; and (3) a numeric interval filter report listing rows where the chosen field (sample_value or sample_weight) falls within the specified minimum–maximum range. All computed locally with no external lookups.","failureModes":["Exceeding 200 rows causes a validation error","Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) causes schema rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","minimum greater than maximum may yield an empty interval filter result","Null values in sample_value or sample_weight are allowed but may affect interval filter output","Values outside ±1,000,000,000,000 are rejected by schema"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous local analytical reports — quality audit, deduplication, and numeric interval filtering — on sampling observation data (up to 200 rows) in a single low-cost call. Ideal when no external lookup, live data, or prediction is needed and the goal is purely data validation and filtering on supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:44.520Z","isFirstParty":false,"canonicalSlug":"sampling-observations-analytics-quality-audit-deduplication-interval-6a3042f7"}