{"uid":"cap_-ZWb-gR20iFQqctJttoUM","slug":"geospatial-tile-processing-string-normalisation-base-100-series-8d99c0d8","name":"Geospatial Tile Processing — String Normalisation + Base-100 Series","description":"Geospatial tile processing — String normalisation + Base-100 series: String normalisation + 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-21-030?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_R9Xt6GoSdHotzuFLvqzi0","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":"Performs string normalisation and Base-100 series indexing on supplied geospatial tile processing records (tile_count and processing_seconds), delivering two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and a Base-100 series analysis on my geospatial tile processing data — I have 4 rows with tile_count as the field, starting base index at 0, covering station groups A and B across early October 2026?","exampleUseCases":[{"title":"Benchmark tile throughput across station groups","prompt":"I have daily tile count records for two station groups across the past week — can you normalise the tile_count values and build a Base-100 index series so I can compare throughput trends between the groups?"},{"title":"Index processing time for pipeline performance review","prompt":"Run a Base-100 series and string normalisation on my processing_seconds data for 50 geospatial tile jobs across October — I want to see how processing time has trended relative to a baseline, starting at index 0."},{"title":"Detect anomalies in tile processing load","prompt":"I've got 120 rows of geospatial tile processing records with tile_count and processing_seconds — can you produce the two analytical reports using string normalisation and Base-100 indexing so I can spot any unusual spikes in the data?"}],"resultDescription":"Returns two structured analytical reports per call: (1) string-normalised values for the chosen field (tile_count or processing_seconds) across all supplied rows, and (2) a Base-100 indexed series anchored at the specified base_index row, enabling relative comparison of geospatial tile processing metrics across up to 200 records.","failureModes":["Exceeding 200 rows returns a validation error","Invalid date format (non-YYYY-MM-DD) causes schema rejection","Missing required fields (row_id, tile_count, processing_seconds) triggers a 400 error","base_index out of range (0–199) causes parameter rejection","Null numeric values may produce incomplete series results","Non-numeric tile_count or processing_seconds values will fail schema validation"],"whenToPreferThis":"Choose this endpoint when you have structured geospatial tile processing records and need both string normalisation and Base-100 time-series indexing computed together in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want two reports from shared local analytical engines without any live data lookup, external API calls, or prediction. It is not suitable for large datasets exceeding 200 rows, real-time streaming tile data, or use cases requiring external geospatial lookups or predictive modelling.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:34.649Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-string-normalisation-base-100-series-8d99c0d8"}