{"uid":"cap_Yho_eoGoPcwNDnLgF0AqH","slug":"sampling-observations-analytics-record-quality-audit-string-c68d8779","name":"Sampling Observations Analytics: Record Quality Audit + String Normalisation + Equal-Width Histogram","description":"Sampling observations — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram 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-15-202?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_j4yFbXQHFTiN9Lz8REv7E","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 bundled local analytical reports — record quality audit, string normalisation, and equal-width histogram — on up to 200 sampling observation rows (sample_value, sample_weight).","exampleAgentPrompt":"Can you run a full quality audit, string normalisation, and a 10-bin equal-width histogram on my sampling observations dataset — I have 50 rows with sample_value and sample_weight fields, grouped by dataset_group, and I want the histogram on sample_value?","exampleUseCases":[{"title":"Survey sample quality check","prompt":"I have 120 rows of survey sampling data with row IDs, dates, group labels, sample values, and weights — can you run a record quality audit, normalise the string fields, and give me a 5-bin histogram of the sample_value column so I can see the distribution before analysis?"},{"title":"Weighted sample distribution profiling","prompt":"Run a 15-bin equal-width histogram on the sample_weight field for my 80 sampling observation records, along with a quality audit and string normalisation report — here are the rows with row_id, date, dataset_group, sample_value, and sample_weight."},{"title":"Pre-analysis data validation for sampling pipeline","prompt":"Before I feed these 200 sampling observation records into my model, can you do a record quality audit and string normalisation pass on them, plus generate a 10-bin histogram of sample_value so I can spot any distribution anomalies?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, invalid, or out-of-range values across all rows; (2) a string normalisation report detailing transformations applied to text fields like dataset_group and date; and (3) an equal-width histogram report over the chosen numeric field (sample_value or sample_weight) divided into the requested number of bins — all computed locally without any external data lookup.","failureModes":["Exceeding 200 rows returns a validation error","Invalid date format (not YYYY-MM-DD) causes row rejection","bins value outside 1–30 range triggers a schema validation failure","Numeric values outside ±1,000,000,000,000 are rejected","Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) cause row-level errors","Payment failure (insufficient USDC) blocks the request"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports (quality audit, string normalisation, histogram) on sampling observation data in a single cheap call ($0.01 USDC). It is ideal for data pipeline pre-checks, exploratory profiling of weighted sample datasets, or validating batches of up to 200 rows before downstream modelling. Prefer it over separate tools when you want all three reports in one round-trip with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:03.323Z","isFirstParty":false,"canonicalSlug":"sampling-observations-analytics-record-quality-audit-string-c68d8779"}