{"uid":"cap_u08iPBbRsB90D59BYDJ3J","slug":"geospatial-tile-processing-record-quality-audit-secondary-measure-ab11227e","name":"Geospatial Tile Processing — Record Quality Audit + Secondary-Measure Weighted Mean","description":"Geospatial tile processing — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied geospatial tile processing records (tile_count, processing_seconds). 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-weather-21-016?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","tile_count","processing_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"tile_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80},"processing_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","tile_count":10,"station_group":"group-a","processing_seconds":1},{"date":"2026-10-02","row_id":"row-2","tile_count":20,"station_group":"group-b","processing_seconds":2},{"date":"2026-10-03","row_id":"row-3","tile_count":15,"station_group":"group-a","processing_seconds":3},{"date":"2026-10-04","row_id":"row-4","tile_count":30,"station_group":"group-b","processing_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["tile_count","processing_seconds"],"type":"string","default":"tile_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_fvV2G0c4qS5vewWbbb5uA","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 record quality and computes a secondary-measure weighted mean for geospatial tile processing records (tile_count, processing_seconds) on up to 200 rows.","exampleAgentPrompt":"Can you audit the quality of these geospatial tile processing records and compute the weighted mean of processing_seconds (weighted by tile_count) for the following rows: row-1, group-a, 2026-10-01, tile_count=10, processing_seconds=1; row-2, group-b, 2026-10-02, tile_count=20, processing_seconds=2?","exampleUseCases":[{"title":"Pipeline benchmark quality check","prompt":"I've got 150 rows of geospatial tile processing logs from last month — can you run a quality audit on them and also compute the weighted mean of processing_seconds using tile_count as the weight? I want to catch any bad records and understand average processing time."},{"title":"Station group performance summary","prompt":"Here are records from two station groups over the past week, each with a tile_count and processing_seconds value. Can you audit the data quality and compute the tile_count weighted mean of processing_seconds so I can compare pipeline efficiency across groups?"},{"title":"Data validation before ETL handoff","prompt":"Before I hand off these 80 geospatial tile processing records to the next stage, can you do a record quality audit and compute the secondary-measure weighted mean on tile_count? I need to confirm there are no quality issues and get a summary statistic."}],"resultDescription":"Two analytical reports: (1) a record quality audit flagging completeness, validity, and anomaly issues for each row, and (2) a secondary-measure weighted mean computed from the supplied tile_count and processing_seconds fields — both generated locally from the submitted data with no external lookups.","failureModes":["Exceeding 200 rows returns an error","Missing required fields (row_id, date, tile_count, processing_seconds) cause validation failure","Invalid date format (not YYYY-MM-DD) rejected by schema","All-null values for the selected measure make weighted mean undefined","Field enum value not matching 'tile_count' or 'processing_seconds' causes rejection"],"whenToPreferThis":"Choose this endpoint when you need both a structured data quality audit and a weighted mean statistic in a single call for geospatial tile processing records, without requiring any external data sources or live lookups. Ideal for pipeline QA, ETL validation steps, or benchmarking geospatial processing jobs where tile_count and processing_seconds are the primary measures.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:43:12.482Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-record-quality-audit-secondary-measure-ab11227e"}