{"uid":"cap_R2zmE1wT7HZjOLdrGEVhp","slug":"geospatial-tile-processing-analytics-numeric-row-ordering-daily-sum-ead8f7b0","name":"Geospatial Tile Processing Analytics — Numeric Row Ordering + Daily Sum Series","description":"Geospatial tile processing — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum series 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-21-114?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_b68M4nZ2FV7W53U5d8vXN","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 two local analytical reports (numeric row ordering and daily sum series) over supplied geospatial tile processing records containing tile_count and processing_seconds fields.","exampleAgentPrompt":"I have up to 200 geospatial tile processing records with fields like row_id, station_group, date, tile_count, and processing_seconds — can you rank them numerically and give me a daily sum series for tile_count?","exampleUseCases":[{"title":"Daily tile throughput trend analysis","prompt":"I have a week of tile processing logs across two station groups — each row has a date, station_group, tile_count, and processing_seconds. Can you give me a daily sum series for tile_count so I can see how throughput varied day by day?"},{"title":"Ranking processing jobs by duration","prompt":"Here are 150 tile processing records with row IDs and processing_seconds values. Can you sort them numerically by processing_seconds and also give me the daily aggregated totals for processing_seconds?"},{"title":"Station group workload summary","prompt":"I want to compare tile processing load across my station groups over the past month — I have records with tile_count and processing_seconds per date. Can you produce a numeric row ordering and a daily sum series for tile_count?"}],"resultDescription":"Returns two analytical reports computed locally from the supplied rows: (1) a numeric row ordering that ranks the input records by the selected field (tile_count or processing_seconds), and (2) a daily sum series that aggregates the selected field's values by date. Covers up to 200 input rows.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, date, tile_count, processing_seconds) on any row — validation error","Date field not in YYYY-MM-DD format — pattern mismatch rejection","Numeric fields outside allowed range (-1e12 to 1e12) — schema validation failure","Empty rows array submitted — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 geospatial tile processing records and need both a rank-ordered view and a daily aggregated time series in a single low-cost call. It is self-contained (no external lookups) and ideal for lightweight operational reporting on tile_count or processing_seconds without building a local analytics pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:18.554Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-analytics-numeric-row-ordering-daily-sum-ead8f7b0"}