{"uid":"cap_iO7OdOurT_LtlFvHhyr6f","slug":"sampling-observations-record-quality-audit-string-normalisation-date-2b65ce23","name":"Sampling Observations: Record Quality Audit + String Normalisation + Date by Category Pivot","description":"Sampling observations — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot 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-15-206?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_282PuHATaUjRqakXnGeq_","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 supplied sampling observation rows: a record quality audit, string normalisation, and a date-by-category pivot for sample_value or sample_weight fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and date-by-category pivot on these sampling observations — I have 4 rows with fields row_id, dataset_group, date, sample_value, and sample_weight, and I want the analysis done on the sample_value field?","exampleUseCases":[{"title":"Survey data quality check","prompt":"I have 50 survey sampling rows with row_id, dataset_group, date, sample_value, and sample_weight — can you audit them for quality issues, normalise any strings, and pivot the sample_value by date and category?"},{"title":"Lab sample weight analysis","prompt":"Run all three reports — quality audit, string normalisation, and date pivot — on my 120 lab sampling records, focusing on the sample_weight field. Each row has a row_id, dataset_group, date, sample_value, and sample_weight."},{"title":"Environmental monitoring data review","prompt":"I've collected 80 environmental sampling observations and want to check data quality, clean up string fields, and see a pivot of sample_value by date and dataset_group — can you do all three in one go?"}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit flagging missing, null, or out-of-range values; (2) a string normalisation report cleaning and standardising text fields like dataset_group and row_id; and (3) a date-by-category pivot table aggregating the selected numeric field (sample_value or sample_weight) across dates and dataset groups. All analysis is performed locally with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — rejected with validation error","date field not matching YYYY-MM-DD pattern — rejected with schema validation error","sample_value or sample_weight outside allowed range (-1e12 to 1e12) — rejected","row_id missing or empty — rejected","field enum not one of 'sample_value' or 'sample_weight' — rejected","Payment not provided or insufficient — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports (quality audit, string normalisation, date-category pivot) on a small-to-medium batch of sampling observation records (up to 200 rows) in a single low-cost call. Prefer it over general-purpose analytics tools when your data specifically has sample_value and sample_weight fields grouped by dataset_group and date. It is not suitable for live lookups, predictions, or datasets exceeding 200 rows.","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-record-quality-audit-string-normalisation-date-2b65ce23"}