{"uid":"cap_uQzpxtjxgn9KMgiKzXlz0","slug":"geospatial-tile-processing-numeric-interval-filter-iqr-outlier-flags-55da9d6c","name":"Geospatial Tile Processing — Numeric Interval Filter + IQR Outlier Flags","description":"Geospatial tile processing — Numeric interval filter + IQR outlier flags: Numeric interval filter + 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-21-130?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_5fyMSOFPMLoLlCzQa1XGg","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":"Filters geospatial tile processing records by a numeric interval and flags IQR-based outliers for tile_count or processing_seconds fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have up to 200 geospatial tile processing records with tile_count and processing_seconds — can you filter them to only keep rows where tile_count is between 0 and 100, and also flag any IQR outliers in that field?","exampleUseCases":[{"title":"Outlier detection in nightly tile jobs","prompt":"Here are 150 rows from last night's geospatial tile pipeline — each has a row_id, station_group, date, tile_count, and processing_seconds. Can you filter to tile_count between 5 and 500 and flag any IQR outliers in tile_count so I know which jobs ran abnormally?"},{"title":"Processing time anomaly report","prompt":"I've got a batch of tile processing records from this week and I want to check processing_seconds — keep only rows between 1 and 3600 seconds and highlight any that are outliers by IQR so I can investigate the slow ones."},{"title":"Station group data quality check","prompt":"Can you run an interval filter on my geospatial tile data, keeping tile_count between 0 and 50000, and give me the IQR outlier flags for tile_count? I have 80 rows from various station groups and need to spot which ones are statistically unusual."}],"resultDescription":"Two analytical reports: (1) records filtered to the specified [minimum, maximum] numeric interval for the chosen field, and (2) IQR-based outlier flags identifying which records fall outside the interquartile fence — all computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, tile_count, processing_seconds) cause validation errors","Non-date-formatted date strings (not YYYY-MM-DD) rejected by pattern validation","Minimum greater than maximum results in empty interval filter output","All-null values in the target field prevent IQR computation","Invalid field enum value (not tile_count or processing_seconds) causes error"],"whenToPreferThis":"Choose this endpoint when you have raw geospatial tile processing records (up to 200 rows) and need both a numeric range filter and IQR outlier detection in a single call at minimal cost ($0.01 USDC for two reports). It is ideal for data quality checks on tile pipeline outputs or for quickly identifying anomalous processing jobs without needing an external analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:35.604Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-numeric-interval-filter-iqr-outlier-flags-55da9d6c"}