{"uid":"cap_oo1cNfx2GphVJd-0IiXrN","slug":"sampling-observations-analytics-record-quality-audit-string-54e4e8fe","name":"Sampling Observations Analytics — Record Quality Audit + String Normalisation + Numeric Distribution","description":"Sampling observations — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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-15-193?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_66AvDW-m4buta4Hhrcg3U","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 analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 sampling observation rows containing sample_value and sample_weight fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation check, and numeric distribution report on my sampling observations? Here are up to 200 rows with row_id, dataset_group, date, sample_value, and sample_weight — I want the analysis focused on the sample_value field.","exampleUseCases":[{"title":"Survey data quality check","prompt":"I have a batch of survey sample records with sample_value and sample_weight columns — can you audit the record quality, flag any string formatting issues in the dataset_group labels, and give me a numeric distribution of sample_value across all rows?"},{"title":"Clinical trial sample validation","prompt":"Here are 150 rows from our clinical trial sampling dataset with dates, group labels, and numeric readings — please run a record quality audit plus string normalisation on the group names and a distribution breakdown of the sample_weight field."},{"title":"Environmental sensor observation review","prompt":"I collected environmental sensor readings stored as sampling observations with row IDs, dates, and group tags — run all three reports (quality audit, string normalisation, and numeric distribution) on sample_value so I can spot any data issues before analysis."}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit flagging completeness and validity issues across the supplied rows, (2) a string normalisation report identifying and standardising text fields, and (3) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram buckets) for the selected field (sample_value or sample_weight). All computed locally with no external lookups.","failureModes":["Exceeding 200 rows causes a validation error — trim input to at most 200 items","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause schema validation failures","Numeric values outside ±1,000,000,000,000 are rejected","Invalid date format (not YYYY-MM-DD) causes a pattern validation error","Payment failure via x402 protocol prevents execution","Empty rows array (minItems: 1 not satisfied) returns an error"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports (quality audit, string normalisation, numeric distribution) on sampling observation data with sample_value and sample_weight fields in a single low-cost call. It is ideal for lightweight, offline data profiling of up to 200 rows without any external network lookups, predictions, or professional assessments. Not suitable for real-time data streaming, large datasets over 200 rows, or tasks requiring external enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:57.799Z","isFirstParty":false,"canonicalSlug":"sampling-observations-analytics-record-quality-audit-string-54e4e8fe"}