{"uid":"cap_BAJXKfQtOLnZR-jJUJWEe","slug":"sampling-observations-analytics-record-quality-audit-string-7322498d","name":"Sampling Observations Analytics: Record Quality Audit + String Normalisation + Daily Sum Series","description":"Sampling observations — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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-15-198?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_3PU3x-s3ECatbRRIEWGZP","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 rows — a record quality audit, string normalisation, and daily sum series — for up to 200 rows of sample_value/sample_weight data.","exampleAgentPrompt":"Can you run the record quality audit, string normalisation, and daily sum series reports on my sampling observations dataset? I have up to 50 rows with fields row_id, dataset_group, date, sample_value, and sample_weight — analyse the sample_value field.","exampleUseCases":[{"title":"Audit incoming sensor sample data quality","prompt":"I just received a batch of 120 sensor sampling records with row_id, dataset_group, date, sample_value, and sample_weight. Can you run a quality audit on them, normalise any string fields, and give me the daily sum series for sample_value so I can spot anomalies?"},{"title":"Daily aggregation for weighted survey responses","prompt":"I have 80 rows of survey sampling observations — each has a row_id, group label, date, sample_value score, and sample_weight. Please compute the daily sum series on sample_weight and also flag any record quality issues or string inconsistencies."},{"title":"Validate and clean environmental monitoring samples","prompt":"Before I import these 200 environmental monitoring samples into our database, can you run the record quality audit and string normalisation on them, and also produce the daily sum series for sample_value? Fields are row_id, dataset_group, date, sample_value, and sample_weight."}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit flagging issues in the supplied rows, (2) a string normalisation report cleaning and standardising text fields, and (3) a daily sum series aggregating the chosen numeric field (sample_value or sample_weight) by date. All computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors","Date strings not matching YYYY-MM-DD pattern rejected","Numeric values outside ±1,000,000,000,000 bounds cause schema errors","Empty rows array returns error"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — quality auditing, string normalisation, and daily sum aggregation — on a single batch of sampling observation records (up to 200 rows) in one low-cost call, without requiring any live data lookup or external API calls. Ideal for pre-import validation, ETL pipeline checks, or exploratory data quality workflows on weighted sample data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:46.803Z","isFirstParty":false,"canonicalSlug":"sampling-observations-analytics-record-quality-audit-string-7322498d"}