{"uid":"cap_oZos7CCRsVZm6a44RD3z-","slug":"geospatial-tile-processing-numeric-interval-filter-secondary-measure-43fc08d0","name":"Geospatial Tile Processing — Numeric Interval Filter + Secondary-Measure Weighted Mean","description":"Geospatial tile processing — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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-21-132?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_H4NExmKC055Qr-ST279zG","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 computes a weighted mean of a secondary measure, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a dataset of geospatial tile processing records with tile counts and processing seconds — can you filter the rows where tile_count is between 10 and 50 and compute the weighted mean of processing_seconds for those filtered records? I have about 4 rows: row-1 on 2026-10-01 in group-a with tile_count 10 and processing_seconds 1, row-2 on 2026-10-02 in group-b with tile_count 20 and processing_seconds 2, row-3 on 2026-10-03 in group-a with tile_count 15 and processing_seconds 3, and row-4 on 2026-10-04 in group-b with tile_count 30 and processing_seconds 4.","exampleUseCases":[{"title":"Satellite tile throughput range analysis","prompt":"I have 50 rows of daily satellite tile processing records with tile counts and processing seconds per station group — can you filter to only rows where tile_count is between 100 and 500, then compute the weighted mean of processing_seconds for those rows?"},{"title":"GIS pipeline performance audit","prompt":"Here are 120 geospatial tile processing records for our GIS pipeline. Filter them to where processing_seconds falls between 5 and 60, and give me the weighted mean of tile_count across those filtered records — I need 2 reports from this batch."},{"title":"Station group tile workload summarization","prompt":"I've got a list of tile processing entries across multiple station groups. Can you run an interval filter on tile_count between 0 and 200 and return the secondary-measure weighted mean of processing_seconds so I can compare workload across groups?"}],"resultDescription":"Returns up to 2 analytical reports covering: (1) the subset of input rows whose selected field (tile_count or processing_seconds) falls within the specified [minimum, maximum] interval, and (2) the weighted mean of the secondary numeric measure computed over those filtered rows. Reports are based solely on the supplied data with no external lookups.","failureModes":["Empty result if no rows fall within the specified numeric interval","Validation error if rows array is empty or exceeds 200 items","Schema error if required row fields (row_id, date, tile_count, processing_seconds, station_group) are missing","Error if minimum is greater than maximum","Null values in tile_count or processing_seconds may affect weighted mean computation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 geospatial tile processing records and need both interval-based filtering on a numeric field and a weighted mean of the secondary numeric measure in a single low-cost call. Prefer it over generic analytics services when your data conforms to the tile_count/processing_seconds schema and you need a fast, self-contained computation without external data access.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:47:58.532Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-numeric-interval-filter-secondary-measure-43fc08d0"}