{"uid":"cap_KFcJeeFlxjnsX9BWszYvM","slug":"point-clouds-string-normalisation-grouped-numeric-summary-f70b000f","name":"Point Clouds — String Normalisation + Grouped Numeric Summary","description":"Point clouds — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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-22-023?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"}}},"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_0dxPRpQ0XtnCLB88zZdhT","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":"Normalises string fields and computes grouped numeric summaries for point cloud records (point_count, file_mb) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have point cloud scan records with asset groups, dates, point counts, and file sizes — can you normalize the asset group strings and give me a grouped numeric summary of point_count across up to 200 rows?","exampleUseCases":[{"title":"LiDAR survey asset group analysis","prompt":"I've got 150 rows of LiDAR scan records with asset groups like 'Site-A', 'site_a', and 'SITE A' — can you normalize those group labels and give me a grouped summary of point_count so I can compare scan density across sites?"},{"title":"Point cloud file size audit by group","prompt":"I need to audit our point cloud archive — please normalize the asset group names and run a grouped numeric summary on file_mb for these 80 scan records so I can see storage usage per group."},{"title":"Multi-date 3D scan data QA report","prompt":"We collected point cloud data across two asset groups over the past month, about 200 rows total. Can you normalize the group strings and generate a grouped summary for both point_count and file_mb so I can do a quick QA check?"}],"resultDescription":"Two local analytical reports: (1) normalised string values for the asset_group field across all submitted rows, and (2) a grouped numeric summary (e.g. count, mean, min, max, sum) of the selected numeric field (point_count or file_mb) broken down by asset_group — all computed offline from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, asset_group, date, point_count, file_mb) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range — validation error","Empty rows array — minimum items violation","Invalid field enum value — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 point cloud records with asset group labels that need string normalisation and you want grouped numeric statistics (count, mean, min, max, etc.) on point_count or file_mb — all computed locally from your supplied data at low cost ($0.01 USDC for both reports). Ideal for offline QA, auditing, or exploratory analysis of LiDAR/3D scan datasets without needing live data connections or external prediction services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:31:15.260Z","isFirstParty":false,"canonicalSlug":"point-clouds-string-normalisation-grouped-numeric-summary-f70b000f"}