{"uid":"cap_ohBTYU4_zhVrLT1vfjRVs","slug":"geospatial-tile-processing-analytics-string-normalisation-numeric-90e575cd","name":"Geospatial Tile Processing Analytics — String Normalisation + Numeric Distribution","description":"Geospatial tile processing — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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-21-022?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_hH7jbqOXHAQ61o9rzA9-T","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 string normalisation and numeric distribution analysis on geospatial tile processing records (tile_count, processing_seconds) for up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"I have up to 200 rows of geospatial tile processing records with fields like station_group, date, tile_count, and processing_seconds — can you run string normalisation on the station groups and a numeric distribution report on the tile_count field for me?","exampleUseCases":[{"title":"Tile Count Distribution by Station Group","prompt":"I've got 150 rows of geospatial tile processing logs with station groups and daily tile counts — can you run a numeric distribution report on tile_count so I can see how values are spread across my pipeline?"},{"title":"Normalize Station Group Labels in Tile Logs","prompt":"My tile processing records have inconsistent station_group strings across 80 rows — can you normalize those strings and give me a clean report?"},{"title":"Processing Time Statistical Analysis","prompt":"I have a batch of 200 geospatial tile processing records dated from last quarter — please run the numeric distribution analysis on the processing_seconds field so I can spot outliers in pipeline performance."}],"resultDescription":"Two independent analytical reports for the supplied dataset: (1) a string normalisation report on categorical/string fields such as station_group, and (2) a numeric distribution report on the selected numeric field (tile_count or processing_seconds), covering up to 200 input rows. No external lookups or predictions are made; all analysis uses local analytical engines.","failureModes":["Input exceeds 200 rows — request rejected","Missing required fields (row_id, date, tile_count, processing_seconds) — validation error","Invalid date format (must be YYYY-MM-DD) — schema error","Numeric values outside allowed range — schema error","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you have geospatial tile processing records with station group and date metadata and need both string normalisation and numeric distribution analysis in a single low-cost call. It is ideal for offline/batch analytical use cases where no live data lookup, prediction, or external action is needed and the dataset fits within 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:43:42.097Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-analytics-string-normalisation-numeric-90e575cd"}