{"uid":"cap_eax5YgT0IThlpI1eLvd15","slug":"geospatial-tile-processing-record-quality-audit-two-measure-correlation-75711739","name":"Geospatial Tile Processing — Record Quality Audit + Two-Measure Correlation","description":"Geospatial tile processing — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation 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-21-015?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}}},"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_vvvGinMsa_eQKPnDYIDbx","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 a record quality audit and a Pearson/rank correlation analysis between tile_count and processing_seconds for up to 200 geospatial tile processing rows, returning two analytical reports.","exampleAgentPrompt":"Can you audit the data quality and check the correlation between tile_count and processing_seconds in my geospatial tile processing records? I have 4 rows: row-1 on 2026-10-01 for group-a with 10 tiles and 1 second, row-2 on 2026-10-02 for group-b with 20 tiles and 2 seconds, row-3 on 2026-10-03 for group-a with 15 tiles and 3 seconds, and row-4 on 2026-10-04 for group-b with 30 tiles and 4 seconds.","exampleUseCases":[{"title":"Tile pipeline performance validation","prompt":"I have 50 rows of tile processing logs with tile_count and processing_seconds per station group and date — can you audit them for data quality issues and tell me how strongly tile count correlates with processing time?"},{"title":"Geospatial batch processing QA","prompt":"Run a quality audit on my geospatial tile processing dataset and compute the two-measure correlation between tile_count and processing_seconds — I'll send you all 120 rows across groups A through D from October 2026."},{"title":"Tile throughput scaling analysis","prompt":"I want to know if my tile processing times scale linearly with tile count — can you check data quality and run a correlation analysis on these 80 processing records grouped by station?"}],"resultDescription":"Returns two structured analytical reports: (1) a record quality audit identifying missing, null, out-of-range, or malformed values across all input rows, and (2) a two-measure correlation report quantifying the statistical relationship between tile_count and processing_seconds across the submitted dataset. No external lookups or predictions are made; all analysis is performed locally on the supplied data.","failureModes":["Empty or missing rows array returns validation error","More than 200 rows submitted exceeds the row limit and is rejected","Rows missing required fields (row_id, date, tile_count, processing_seconds) cause schema validation failure","Dates not matching YYYY-MM-DD pattern are rejected","All null values in tile_count or processing_seconds may prevent meaningful correlation computation","Malformed JSON body returns 400-level error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 geospatial tile processing records with tile_count and processing_seconds fields and need both a data quality audit and a correlation analysis in a single call. It is purpose-built for tile processing performance data with station_group and date dimensions. Prefer it over general-purpose analytics APIs when the x402 micropayment model fits your workflow and you need both reports for a flat $0.01 USDC fee without setting up infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:38.033Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-record-quality-audit-two-measure-correlation-75711739"}