{"uid":"cap_KMfTFnJCxAExADsdPWc0K","slug":"geospatial-tile-processing-analytics-deduplication-numeric-distribution-277c4e63","name":"Geospatial Tile Processing Analytics — Deduplication & Numeric Distribution","description":"Geospatial tile processing — Exact row deduplication + Numeric distribution: Exact row deduplication + Numeric distribution 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-21-039?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_KYUM_TvwaKq4eSqHkczU_","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":"Performs exact row deduplication and numeric distribution analysis on geospatial tile processing records (tile_count, processing_seconds) for up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of geospatial tile processing records with fields like row_id, station_group, date, tile_count, and processing_seconds — can you deduplicate them and give me a numeric distribution report on the tile_count field?","exampleUseCases":[{"title":"Deduplicate tile pipeline batch records","prompt":"I've got a batch of 150 geospatial tile processing records from our pipeline and I suspect there are duplicates — can you run exact row deduplication on them and also give me a distribution breakdown of the processing_seconds field?"},{"title":"Audit tile count distribution by station group","prompt":"Here are 80 rows of tile processing logs with station_group, date, tile_count, and processing_seconds — please deduplicate the rows and show me the numeric distribution for tile_count so I can see how tile counts are spread across our jobs."},{"title":"QA check on daily tile processing exports","prompt":"I'm doing a QA pass on our daily tile processing export — it has about 120 rows with row_id, date, station_group, tile_count, and processing_seconds. Can you deduplicate the dataset and generate a distribution report on processing_seconds to catch any anomalies?"}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows from the supplied geospatial tile processing records, and (2) a numeric distribution report for the selected field (tile_count or processing_seconds), including statistical summaries computed locally without any external data lookup or live data.","failureModes":["More than 200 rows supplied — request will be rejected or truncated","Missing required fields (row_id, station_group, date, tile_count, processing_seconds) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) rejected","Empty rows array causes a minimum items validation error","Invalid field enum value (not tile_count or processing_seconds) causes schema error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of geospatial tile processing data and need both exact duplicate detection and a numeric distribution analysis in a single low-cost call. It is ideal for data quality checks on tile pipeline outputs or processing logs where no external lookup, live data, or prediction is required — just local statistical computation on supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:07.091Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-analytics-deduplication-numeric-distribution-277c4e63"}