{"uid":"cap_z6fuoskZG7QJODvt2Mbzs","slug":"geospatial-tile-processing-category-frequencies-adjacent-row-changes-b12fd017","name":"Geospatial Tile Processing — Category Frequencies + Adjacent Row Changes","description":"Geospatial tile processing — Category frequencies + Adjacent row changes: Category frequencies + 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-21-104?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_T9wXukaXkz2Op6dXsas_d","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":"Analyzes geospatial tile processing records to produce two local analytical reports: category frequency counts and adjacent row change detection, for up to 200 rows.","exampleAgentPrompt":"I have up to 200 geospatial tile processing records with station groups, dates, tile counts, and processing seconds — can you run both the category frequency report and the adjacent row change analysis on the tile_count field for me?","exampleUseCases":[{"title":"Station group frequency audit","prompt":"I've got a batch of 150 geospatial tile processing records from last month and I need to know how often each station group appears — can you generate a category frequency report on them?"},{"title":"Processing time change detection","prompt":"Here are 80 tile processing records across several dates and station groups — please run the adjacent row change analysis on the processing_seconds field so I can spot any sudden jumps or drops between consecutive rows."},{"title":"Dual-report tile count analysis","prompt":"I have a dataset of 60 geospatial tile processing records with tile_count and processing_seconds — can you generate both the category frequencies and the adjacent row changes report for tile_count in one go?"}],"resultDescription":"Returns two analytical reports based on the supplied rows: (1) category frequencies showing how often each station_group value appears in the dataset, and (2) adjacent row changes identifying value differences between consecutive records for the selected numeric field (tile_count or processing_seconds). No external data is fetched; all analysis is performed locally on the supplied data.","failureModes":["Input array exceeds 200 rows — 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 fields outside allowed range cause rejection","Empty rows array returns an error","Null values in the selected numeric field may produce incomplete adjacent change results"],"whenToPreferThis":"Choose this endpoint when you have up to 200 geospatial tile processing records and need both a category frequency breakdown of station groups and adjacent row change detection on tile counts or processing times in a single low-cost call ($0.01 USDC). Prefer it over general analytics tools when working specifically with tile_count and processing_seconds fields and you need two bundled reports without any external lookup or live data requirements.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:36:43.256Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-category-frequencies-adjacent-row-changes-b12fd017"}