{"uid":"cap_of12YTLbk-wH6We4b9L19","slug":"point-clouds-record-quality-audit-explicit-missing-value-fill-765479f1","name":"Point Clouds — Record Quality Audit + Explicit Missing-Value Fill","description":"Point clouds — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill for supplied point clouds records (point_count, file_mb). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-creative-22-019?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","point_count","file_mb"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"file_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"point_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","file_mb":1,"asset_group":"group-a","point_count":10},{"date":"2026-10-02","row_id":"row-2","file_mb":2,"asset_group":"group-b","point_count":20},{"date":"2026-10-03","row_id":"row-3","file_mb":3,"asset_group":"group-a","point_count":15},{"date":"2026-10-04","row_id":"row-4","file_mb":4,"asset_group":"group-b","point_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["point_count","file_mb"],"type":"string","default":"point_count"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_leTs7sbIiBqoQXaWQMQlW","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":"Audits point cloud records (point_count, file_mb) for quality issues and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you audit my point cloud records for data quality issues and fill any missing point_count values using median imputation? I have about 50 rows with fields like row_id, asset_group, date, point_count, and file_mb.","exampleUseCases":[{"title":"LiDAR survey data quality check","prompt":"I have 120 rows of LiDAR survey scan records with point_count and file_mb fields — some values are null. Can you run a quality audit on them and fill in the missing point_count values using median imputation?"},{"title":"Aerial mapping dataset cleanup","prompt":"My aerial mapping dataset has 80 point cloud records with missing file_mb values. Please audit the data quality and fill those gaps using the mean of the existing file_mb values."},{"title":"Asset group scan validation","prompt":"I need to validate point cloud records across two asset groups — group-alpha and group-beta — for about 150 rows. Run a quality audit and fill any missing point_count values with zero so I can see the full picture."}],"resultDescription":"Two independent analytical reports: one quality audit flagging record-level issues in the supplied point cloud data, and one explicit missing-value fill report showing imputed values for the chosen field (point_count or file_mb) using the selected method (zero, mean, or median). Results are based solely on the supplied rows (up to 200) with no external data or live lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, asset_group, date) — schema error","Numeric values outside allowed range — validation failure","Invalid method enum value — schema rejection","Empty rows array — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular point cloud metadata (point_count, file_mb per row) that needs both a quality audit and missing-value imputation in a single call, without requiring any live data lookup, prediction, or external integration. It is ideal for batch preprocessing of LiDAR or 3D scan datasets before downstream analysis, especially when a lightweight, low-cost ($0.01 USDC) solution for up to 200 rows is sufficient.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:38:21.212Z","isFirstParty":false,"canonicalSlug":"point-clouds-record-quality-audit-explicit-missing-value-fill-765479f1"}