{"uid":"cap_pgYzMM1YaRswl7McitQWi","slug":"sampling-observations-analytics-record-quality-audit-exact-row-6e68258d","name":"Sampling Observations Analytics — Record Quality Audit + Exact Row Deduplication + Equal-Width Histogram","description":"Sampling observations — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + 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-15-219?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_KcriSMS0mAo9EefwXq2KO","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 (record quality audit, exact row deduplication, and equal-width histogram) on up to 200 sampling observation records with sample_value and sample_weight fields.","exampleAgentPrompt":"Can you run a quality audit, deduplicate exact rows, and build a 10-bin histogram on the sample_value field for my sampling observations dataset? Here are up to 200 rows with row_id, dataset_group, date, sample_value, and sample_weight.","exampleUseCases":[{"title":"Survey sample data quality check","prompt":"I have 150 survey response records with sample_value and sample_weight — can you audit them for quality issues, remove any exact duplicate rows, and show me a 5-bin histogram of the sample_value field?"},{"title":"Weighted observation deduplication before modeling","prompt":"Before I feed these 200 sampling observations into my model, can you run an exact duplicate check and a record quality audit on the dataset so I know what's clean? Use sample_weight as the histogram field with 8 bins."},{"title":"Distribution profiling for sensor readings","prompt":"I've got a batch of sensor sample readings — each row has a row_id, group, date, sample_value, and sample_weight. Can you profile the sample_value distribution with a 10-bin equal-width histogram, flag any quality issues, and identify any duplicate records?"}],"resultDescription":"Three independent reports: (1) a record quality audit flagging nulls, invalid values, and format issues per row; (2) an exact row deduplication report listing duplicate row groups; and (3) an equal-width histogram for the selected field (sample_value or sample_weight) with a configurable number of bins (1–30). All computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected with maxItems violation","Invalid date format (not YYYY-MM-DD) causes schema validation failure","sample_value or sample_weight outside [-1e12, 1e12] range causes rejection","bins parameter outside 1–30 range causes validation error","Empty rows array causes minItems violation","Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) causes schema error"],"whenToPreferThis":"Choose this endpoint when you need three core data profiling operations — quality auditing, deduplication, and distribution histogramming — on a batch of sampling observation records in a single low-cost call. Ideal for pre-modeling data hygiene checks, survey data validation, or quick statistical profiling of weighted samples without needing external data sources or real-time lookups. Best when your dataset is at most 200 rows and you want a bundled, cost-efficient ($0.01 USDC) local computation rather than separate API calls for each operation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:39.555Z","isFirstParty":false,"canonicalSlug":"sampling-observations-analytics-record-quality-audit-exact-row-6e68258d"}