{"uid":"cap_Mmjboo3-1IBmvEewhKvy6","slug":"geospatial-tile-processing-record-quality-audit-iqr-outlier-flags-c569f1f4","name":"Geospatial Tile Processing — Record Quality Audit + IQR Outlier Flags","description":"Geospatial tile processing — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags 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-21-014?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_FPGNuzggeYiKKsH2WqAF5","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 IQR-based outlier detection on geospatial tile processing records (tile_count, processing_seconds) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you audit these geospatial tile processing records for data quality issues and flag any IQR outliers in tile_count? I have up to 50 rows with row_id, station_group, date, tile_count, and processing_seconds fields.","exampleUseCases":[{"title":"Tile pipeline anomaly detection","prompt":"I have a batch of 80 geospatial tile processing records with dates, station groups, tile counts, and processing seconds — can you run a quality audit and flag any IQR outliers in the processing_seconds field so I can spot which jobs ran unusually slow?"},{"title":"Daily tile count quality check","prompt":"Run a record quality audit and IQR outlier check on my tile_count data for these 120 rows from our geospatial pipeline — I want to know which rows have quality issues and which tile_count values are statistical outliers."},{"title":"Station group data validation","prompt":"I need to validate 40 rows of geospatial tile processing logs grouped by station — please audit them for record quality problems and flag any outliers in tile_count using IQR so I can clean the dataset before further analysis."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying missing values, malformed entries, and data completeness issues across the supplied rows; (2) IQR-based outlier flags identifying which rows contain statistically anomalous values for the selected field (tile_count or processing_seconds), including the specific row_ids flagged as outliers.","failureModes":["Fewer than 1 row submitted — minimum row count not met","More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, station_group, date, tile_count, processing_seconds) in one or more rows","Invalid date format (must match YYYY-MM-DD pattern)","Invalid field enum value (must be 'tile_count' or 'processing_seconds')","Payment failure or insufficient USDC balance","All numeric values are null — IQR computation not possible"],"whenToPreferThis":"Choose this endpoint when you need to programmatically assess data quality and detect statistical outliers in geospatial tile processing metrics (tile_count or processing_seconds) for batches of up to 200 records. It is ideal for automated data pipeline QA, pre-processing validation before downstream geospatial analysis, or routine audits of tile job logs. Prefer this over generic statistical tools when you need both a quality audit and IQR outlier flagging delivered as two structured reports in a single low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:56.120Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-record-quality-audit-iqr-outlier-flags-c569f1f4"}