{"uid":"cap_CIQJwy5QWBr1d2T3wlNez","slug":"geospatial-tile-processing-analytics-quality-audit-string-a835dcf2","name":"Geospatial Tile Processing Analytics — Quality Audit, String Normalisation & Two-Measure Correlation","description":"Geospatial tile processing — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied geospatial tile processing records (tile_count, processing_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-weather-21-204?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_FQlj5OCdnUOUkJ31bCsVd","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 three local analytical reports on geospatial tile processing records: a record quality audit, string normalisation, and a correlation analysis between tile_count and processing_seconds.","exampleAgentPrompt":"Can you audit the quality, normalise the station group strings, and check the correlation between tile_count and processing_seconds for my geospatial tile processing records? I have about 50 rows covering October 2026 across station groups like 'group-a' and 'group-b'.","exampleUseCases":[{"title":"Pipeline data quality check","prompt":"I've got 120 rows of geospatial tile processing logs from last month — can you run a quality audit on them, normalise the station_group strings, and tell me if there's a meaningful correlation between how many tiles were processed and how long it took?"},{"title":"Station group string cleanup","prompt":"My tile processing dataset has messy station_group labels across 80 records with dates in October 2026 — please normalise those strings, audit the overall record quality, and also correlate tile_count against processing_seconds for me."},{"title":"Processing efficiency correlation analysis","prompt":"I want to understand whether processing time scales with tile count in my geospatial pipeline. Can you take these 200 tile processing records, run a quality audit, normalise the station group names, and compute the correlation between tile_count and processing_seconds?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-range values across the supplied rows; (2) string normalisation results for the station_group field; and (3) a two-measure correlation report between tile_count and processing_seconds. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Empty or missing rows array returns a validation error","More than 200 rows in the array exceeds the row limit and will be rejected","Rows missing required fields (row_id, station_group, date, tile_count, processing_seconds) fail schema validation","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Both tile_count and processing_seconds being null across all rows prevents correlation computation","Payment not included or insufficient USDC causes 402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality audit, string normalisation, and correlation analysis on up to 200 geospatial tile processing records in a single low-cost call ($0.01 USDC). It is ideal when you want three analytical outputs simultaneously without setting up separate analytical pipelines. It is not suitable for live geospatial lookups, predictions, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:13.261Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-analytics-quality-audit-string-a835dcf2"}