{"uid":"cap_IrluEu43kP6vKSbZhhZHX","slug":"geospatial-tile-processing-analytics-numeric-row-ordering-date-by-28832c88","name":"Geospatial Tile Processing Analytics — Numeric Row Ordering + Date by Category Pivot","description":"Geospatial tile processing — Numeric row ordering + Date by category pivot: Numeric row ordering + Date by category pivot 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-21-122?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_7FiAUBdcQCLWqoEIF-dbC","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":"Runs two local analytical reports on geospatial tile processing data: numeric row ordering (ranking rows by tile_count or processing_seconds) and a date-by-category pivot table grouping metrics by station group over time.","exampleAgentPrompt":"I have geospatial tile processing records with tile counts and processing times across several station groups — can you rank the rows by tile_count and also give me a pivot table of tile_count broken down by station group and date? Here are up to 200 rows of data.","exampleUseCases":[{"title":"Ranking tile jobs by processing speed","prompt":"I have a batch of geospatial tile processing jobs with row IDs, dates, station groups, and processing times — can you rank all rows from fastest to slowest by processing_seconds and also pivot the processing_seconds values by station group and date so I can see trends?"},{"title":"Comparing tile volume across station groups","prompt":"Here are my tile processing records for the past month across groups A, B, and C — rank them by tile_count and show me a date-by-category pivot so I can see which group processed the most tiles on each day."},{"title":"Auditing geospatial pipeline throughput","prompt":"I need to audit our geospatial pipeline — I've got up to 200 rows with tile counts and processing seconds per station group. Can you give me a numeric ranking by tile_count and a pivot table of tile_count by date and station group?"}],"resultDescription":"Two analytical reports derived from the supplied rows: (1) all records numerically ordered by the selected field (tile_count or processing_seconds), and (2) a pivot table cross-tabulating dates against station group categories for the chosen metric. Up to 200 input rows are processed with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds limit","Invalid date format (non-YYYY-MM-DD strings) — schema validation error","Unrecognized field value outside enum ['tile_count','processing_seconds'] — rejected","Missing required fields (row_id, station_group, date) — validation failure","Numeric values outside allowed range (±1 trillion) — rejected"],"whenToPreferThis":"Choose this endpoint when you have tabular geospatial tile processing data (up to 200 rows) and need both a ranked ordering and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical summarization of tile processing pipelines without requiring external data sources, live APIs, or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:36:48.311Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-analytics-numeric-row-ordering-date-by-28832c88"}