{"uid":"cap_OZ8o3W_egdm9hbaFCJwv3","slug":"geospatial-tile-processing-string-normalisation-adjacent-row-changes-c2d5fc78","name":"Geospatial Tile Processing — String Normalisation + Adjacent Row Changes","description":"Geospatial tile processing — String normalisation + Adjacent row changes: String normalisation + 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-21-029?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_KOa04Lo1bQ6iMyIs8afJ_","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":"Normalises string fields and computes adjacent row changes for geospatial tile processing records (tile_count, processing_seconds) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have up to 200 rows of geospatial tile processing records with tile_count and processing_seconds per station group — can you normalise the string fields and compute the adjacent row changes for tile_count, and give me both reports?","exampleUseCases":[{"title":"Tile throughput change detection","prompt":"I've got 150 rows of daily tile processing records across station groups — please normalise the station_group strings and show me the adjacent row changes in tile_count so I can spot any sudden spikes or drops between days."},{"title":"Processing time drift analysis","prompt":"Can you take my 80-row geospatial tile dataset and run string normalisation plus adjacent row change analysis on processing_seconds? I want to see how processing time shifts from one record to the next."},{"title":"Station group data cleanup and delta report","prompt":"My tile processing export has messy station_group labels and I need both a string normalisation pass and a row-by-row change report on tile_count — I have about 60 records dated from 2025-01-01 to 2025-03-01."}],"resultDescription":"Returns two analytical reports: one covering normalised string fields (e.g. cleaned station_group values) and one covering adjacent row changes for the selected numeric field (tile_count or processing_seconds), computed locally across up to 200 supplied rows with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, station_group, tile_count, or processing_seconds) — validation error","Invalid date format (must be YYYY-MM-DD) — schema rejection","Numeric values outside allowed range (±1,000,000,000,000) — validation error","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation combined with adjacent row change computation on geospatial tile processing records, especially when your dataset fits within 200 rows and you want two bundled reports for a single flat fee of $0.01 USDC. It is not suitable for live geospatial lookups, prediction, or datasets requiring external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:17:12.432Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-string-normalisation-adjacent-row-changes-c2d5fc78"}