{"uid":"cap_OWQ_ohxMmOfixoGEc-OwL","slug":"geospatial-tile-processing-numeric-distribution-numeric-interval-filter-d65976d5","name":"Geospatial Tile Processing — Numeric Distribution + Numeric Interval Filter","description":"Geospatial tile processing — Numeric distribution + Numeric interval filter: Numeric distribution + Numeric interval filter 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-21-074?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_ITklJCAJNTC8b4Qbc9q8S","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":"Computes a numeric distribution report and a numeric interval filter report for geospatial tile processing records (tile_count, processing_seconds) over up to 200 supplied rows.","exampleAgentPrompt":"Take my geospatial tile processing records — rows with tile_count and processing_seconds — and give me a numeric distribution of tile_count plus filter the records where tile_count falls between 0 and 100; I have up to 50 rows to analyze.","exampleUseCases":[{"title":"Tile count distribution for station groups","prompt":"I have 120 rows of geospatial tile processing data with station groups and dates. Can you run a numeric distribution on tile_count and also filter for records where tile_count is between 10 and 500?"},{"title":"Processing time interval filter for pipeline audit","prompt":"I need to audit my tile processing pipeline — can you take these 80 records and show me a numeric distribution of processing_seconds, then filter to only the rows where processing_seconds falls between 1 and 60?"},{"title":"GIS batch record range analysis","prompt":"Here are 200 geospatial tile records from October 2026. Run a distribution report on tile_count and filter rows where tile_count is between 5 and 200, grouped by station_group."}],"resultDescription":"Returns two analytical reports over the supplied rows: (1) a numeric distribution of the selected field (tile_count or processing_seconds) showing frequency/spread across records, and (2) an interval-filtered subset of rows where the selected field falls within the specified minimum and maximum bounds. Both reports are computed locally without external lookups.","failureModes":["Fewer than 1 row supplied — rejected at schema validation","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (non-YYYY-MM-DD) — schema pattern mismatch","minimum greater than maximum — may return empty interval filter","Null values in tile_count or processing_seconds — may affect distribution accuracy","Field enum value not one of tile_count or processing_seconds — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 geospatial tile processing records and need both a numeric distribution summary and a range-filtered subset in a single call for $0.01 USDC. It is ideal for offline/batch analytical use where no live data lookup, prediction, or external action is needed — just deterministic statistical computation on supplied row data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:30.778Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-numeric-distribution-numeric-interval-filter-d65976d5"}