{"uid":"cap_nnRdvDrdY4TtV5POGb1YG","slug":"point-clouds-adjacent-row-changes-secondary-measure-weighted-mean-3e820545","name":"Point Clouds — Adjacent Row Changes + Secondary-Measure Weighted Mean","description":"Point clouds — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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-22-159?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_MNzUY1WAxKYdQEx5MQhA0","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":"Computes adjacent row changes and secondary-measure weighted mean analytics for point cloud datasets (point_count, file_mb) — up to 200 rows, two reports per call.","exampleAgentPrompt":"Can you run adjacent row change analysis and secondary-measure weighted mean on my point cloud data? I have 4 records: row-1 on 2026-10-01 with point_count 10 and file_mb 1 in group-a, row-2 on 2026-10-02 with point_count 20 and file_mb 2 in group-b, row-3 on 2026-10-03 with point_count 15 and file_mb 3 in group-a, row-4 on 2026-10-04 with point_count 30 and file_mb 4 in group-b — analyze by point_count.","exampleUseCases":[{"title":"Lidar scan growth monitoring","prompt":"I have a series of daily lidar scan records with point counts and file sizes across two asset groups — can you compute the adjacent row changes and weighted mean for point_count across these 10 records so I can see how the data volume is growing day over day?"},{"title":"3D asset file size audit","prompt":"Run the adjacent row change and secondary-measure weighted mean analysis on my 3D asset dataset using file_mb as the primary field — I've got about 50 rows across several asset groups from the past two months and want to understand the file size fluctuations."},{"title":"Point cloud pipeline QA check","prompt":"Before I ingest these 200 point cloud records into our pipeline, can you compute row-over-row changes in point_count and give me a weighted mean summary? The records span asset groups alpha and beta from January through June 2026."}],"resultDescription":"Returns two analytical reports for the supplied point cloud rows: (1) an adjacent row change report showing delta values between consecutive records for the selected primary field (point_count or file_mb), and (2) a secondary-measure weighted mean report summarizing the weighted average using the complementary measure as weights. Both reports are computed locally with no external lookups.","failureModes":["Fewer than 1 row provided — minimum input validation error","More than 200 rows submitted — maxItems exceeded error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Missing required fields (row_id, asset_group, date, point_count, file_mb) — schema validation error","Invalid field enum value (not point_count or file_mb) — enum validation error","Null values for both numeric fields may produce incomplete or undefined weighted mean results"],"whenToPreferThis":"Choose this endpoint when you have tabular point cloud records with point_count and file_mb measurements and need both sequential delta analysis (row-over-row changes) and a weighted mean summary in a single API call. It is ideal for 3D scanning pipelines, LiDAR data audits, or geospatial asset management workflows where you want lightweight local analytics without any external data lookup or prediction services. Best for datasets up to 200 rows where cost efficiency ($0.01 USDC for two reports) matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:41:31.268Z","isFirstParty":false,"canonicalSlug":"point-clouds-adjacent-row-changes-secondary-measure-weighted-mean-3e820545"}