{"uid":"cap_o5t9apQoW2mwEnZUwLguq","slug":"sampling-observations-record-quality-audit-numeric-interval-filter-09570c38","name":"Sampling Observations — Record Quality Audit + Numeric Interval Filter","description":"Sampling observations — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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-15-008?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_AnhVSInWpq8Z-kT72Qk8t","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":"Audits data quality and filters rows by numeric interval for sampling observation records containing sample_value and sample_weight fields, returning two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you audit the quality of these 150 sampling observation rows and also flag any records where sample_value falls outside the range 0 to 500? Here's the dataset with row_id, dataset_group, date, sample_value, and sample_weight fields.","exampleUseCases":[{"title":"Survey data quality review","prompt":"I have 80 rows of survey sampling data with sample_value and sample_weight columns — can you run a record quality audit on all of them and also filter out any rows where sample_value is below 1 or above 250?"},{"title":"Weighted sample range validation","prompt":"Check my sampling observations dataset (up to 120 rows) for quality issues, and separately tell me which records have a sample_weight outside the interval -10 to 1000."},{"title":"Pre-analysis dataset cleaning","prompt":"Before I run my analysis, can you do a quality audit on these sampling observation records and identify any rows where sample_value falls outside the numeric range 0 to 100? I'll send you the rows with their row_id, date, and dataset_group fields included."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit identifying data issues across the supplied sampling observation rows (e.g. missing values, malformed records, anomalies), and (2) a numeric interval filter report listing which rows have the specified field (sample_value or sample_weight) outside the defined minimum-maximum bounds. Up to 200 rows processed per call.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) in one or more rows","Invalid date format (must be YYYY-MM-DD)","row_id exceeds 80 character maxLength","Numeric values outside the allowed range (-1e12 to 1e12)","minimum greater than maximum causing empty interval","Invalid field enum value (must be sample_value or sample_weight)","Payment failure via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you need both a record quality audit AND a numeric interval filter applied to sampling observation data (with sample_value and sample_weight fields) in a single paid call. It is purpose-built for survey/sampling datasets and returns two reports for one $0.01 USDC payment covering up to 200 rows. Prefer this over generic data validation tools when your data specifically contains sample_value and sample_weight fields organized by dataset_group and date.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:02.045Z","isFirstParty":false,"canonicalSlug":"sampling-observations-record-quality-audit-numeric-interval-filter-09570c38"}