{"uid":"cap_v3Vi32mxCFA35Nqv7iVlQ","slug":"geospatial-tile-processing-adjacent-row-changes-base-100-series-21b57aaa","name":"Geospatial Tile Processing — Adjacent Row Changes + Base-100 Series","description":"Geospatial tile processing — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 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-21-155?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_IPpc-19Vj01EWO8U9YW9t","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 adjacent row changes and base-100 index series for geospatial tile processing records (tile_count, processing_seconds) across up to 200 rows.","exampleAgentPrompt":"I have geospatial tile processing records with tile_count and processing_seconds — can you run adjacent row changes and a base-100 index series on the tile_count field, starting the base at row 0, for this dataset of up to 50 rows grouped by station?","exampleUseCases":[{"title":"Tile throughput trend indexing","prompt":"I have daily tile processing logs for our satellite pipeline — can you compute a base-100 index series on the tile_count field starting from row index 0, so I can see how throughput has scaled relative to our starting point?"},{"title":"Detecting processing bottlenecks across rows","prompt":"Run an adjacent row changes report on the processing_seconds field for these 80 geospatial tile records grouped by station — I want to see where processing time jumps between consecutive dates."},{"title":"Comparing two metrics across station groups","prompt":"I've got 120 rows of tile processing data with tile_count and processing_seconds — give me both the adjacent row changes and the base-100 series for tile_count, using row 0 as the base, so I can compare trends across station groups."}],"resultDescription":"Returns two analytical reports derived from the supplied geospatial tile processing rows: (1) an adjacent row changes report showing sequential deltas between consecutive records, and (2) a base-100 series normalizing the selected field (tile_count or processing_seconds) relative to a chosen base row index. Both reports are computed locally from submitted data with no external lookups.","failureModes":["Rows array empty or missing — validation error returned","More than 200 rows submitted — request rejected or truncated","base_index out of range (0–199) — error or fallback behavior","Invalid date format (not YYYY-MM-DD) — schema validation failure","Null values in tile_count or processing_seconds may affect delta calculations","Missing required fields (row_id) — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have tabular geospatial tile processing records and need two specific analytical transforms — adjacent row change detection and base-100 index normalization — computed together in a single cheap call ($0.01 USDC). Best suited for batch analysis of up to 200 rows of tile_count or processing_seconds data where no live external data, predictions, or third-party lookups are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:10:41.541Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-adjacent-row-changes-base-100-series-21b57aaa"}