{"uid":"cap_RcDPDxRRvcIgr2GxZRkGj","slug":"geospatial-tile-processing-numeric-row-ordering-adjacent-row-changes-689c3337","name":"Geospatial Tile Processing — Numeric Row Ordering + Adjacent Row Changes","description":"Geospatial tile processing — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes 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-21-116?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_F5hRCxuDd-OlmxEFiz8_r","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 numeric row ordering and adjacent row changes for geospatial tile processing records (tile_count, processing_seconds) across up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"I have a dataset of geospatial tile processing records with tile counts and processing seconds across multiple station groups — can you sort them by tile_count and also show me the adjacent row-to-row changes for each record?","exampleUseCases":[{"title":"Ranking stations by tile throughput","prompt":"I have 50 geospatial tile processing records for October 2026 from two station groups. Can you rank them by tile_count from highest to lowest and show me how each row changed relative to the previous one?"},{"title":"Detecting processing time anomalies","prompt":"Here are my daily tile processing logs for group-a and group-b — can you order them by processing_seconds and compute the adjacent row changes so I can spot any sudden spikes or drops?"},{"title":"Comparing sequential tile batch output","prompt":"I want to analyze how our tile processing volume shifted day over day across station groups. Can you give me a numeric ordering and adjacent change report for these records using tile_count as the field?"}],"resultDescription":"Returns 2 analytical reports: (1) the input rows sorted in numeric order by the selected field (tile_count or processing_seconds), and (2) adjacent row change values showing the difference between each consecutive row for the chosen field. Covers up to 200 rows per call.","failureModes":["More than 200 rows submitted — request exceeds maximum row limit","Missing required fields (row_id, date, tile_count, processing_seconds) — validation error","Invalid date format (not YYYY-MM-DD) — pattern mismatch error","Numeric values outside allowed range (±1,000,000,000,000) — schema validation failure","Invalid field enum value (must be tile_count or processing_seconds) — rejected input"],"whenToPreferThis":"Use this endpoint when you have up to 200 geospatial tile processing records and need both a numeric sort/ranking and sequential adjacent-row delta analysis on either tile_count or processing_seconds in a single low-cost call. It is ideal for offline/batch analytical pipelines where no live external lookup, prediction, or real-time data is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:31:59.948Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-numeric-row-ordering-adjacent-row-changes-689c3337"}