{"uid":"cap_AIExIMlU8i33X6mbFd3Xg","slug":"geospatial-tile-processing-exact-row-deduplication-numeric-interval-3e4c5022","name":"Geospatial Tile Processing — Exact Row Deduplication + Numeric Interval Filter","description":"Geospatial tile processing — Exact row deduplication + Numeric interval filter: Exact row deduplication + 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-21-043?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_X1CyjiyHINmBypjEyGH1a","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":"Deduplicates geospatial tile processing records and filters rows by a numeric interval on tile_count or processing_seconds, 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 deduplicate them and filter to only rows where tile_count is between 5 and 150, then give me two analytical reports?","exampleUseCases":[{"title":"Filtering tile processing backlog by load range","prompt":"I have a batch of 120 tile processing records from various station groups — please deduplicate them and keep only rows where processing_seconds is between 2 and 60, then produce two summary reports."},{"title":"Removing duplicate station tile counts","prompt":"Here are 80 geospatial tile records for October — deduplicate the rows and filter to tile_count between 10 and 500, generating two reports on the cleaned data."},{"title":"QA check on tile pipeline output","prompt":"Can you take these 50 tile processing log entries, strip any duplicate rows, and then filter down to records where tile_count falls between 0 and 200? I need two independent analytical reports on the result."}],"resultDescription":"Two analytical reports covering: (1) exact-duplicate-removed rows from the input dataset, and (2) rows filtered to the specified numeric interval on the chosen field (tile_count or processing_seconds), both derived from the supplied geospatial tile processing records without any external lookup or prediction.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, tile_count, processing_seconds) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Minimum value greater than maximum causes empty filter result","Non-numeric values in tile_count or processing_seconds fields fail schema validation"],"whenToPreferThis":"Choose this endpoint when you have geospatial tile processing records (with tile_count and processing_seconds fields) and need to both deduplicate exact rows and filter by a numeric value range in a single call, receiving two structured reports. It is purely local/analytical with no external data access, making it suitable for batch data cleaning and QA pipelines at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:28.214Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-exact-row-deduplication-numeric-interval-3e4c5022"}