{"uid":"cap_CuIeyfNJumD2Yb2ux4wp3","slug":"geospatial-tile-processing-data-quality-distribution-analyzer-7e7fe7d5","name":"Geospatial Tile Processing Data Quality & Distribution Analyzer","description":"Geospatial tile processing — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution for supplied geospatial tile processing records (tile_count, processing_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-weather-21-193?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_MIjN9j4JhlHf8Mpo1PVEa","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":"Audits record quality, normalizes strings, and computes numeric distributions for geospatial tile processing datasets (tile_count, processing_seconds) — up to 200 rows, 3 reports per call.","exampleAgentPrompt":"Can you run a record quality audit, string normalization, and numeric distribution analysis on my geospatial tile processing data — I have about 150 rows with fields like tile_count and processing_seconds, and I want the distribution report focused on tile_count?","exampleUseCases":[{"title":"Tile processing pipeline quality check","prompt":"I have 80 rows of geospatial tile processing logs with station_group, date, tile_count, and processing_seconds — can you audit them for record quality issues, normalize the station group strings, and give me a numeric distribution on tile_count?"},{"title":"Processing time distribution for operations review","prompt":"Run a record quality audit, string normalization, and numeric distribution on these 120 tile processing records I'm uploading, and focus the distribution analysis on processing_seconds so I can see how our pipeline performance is spread."},{"title":"Data cleanup before dashboard ingestion","prompt":"Before I load this geospatial tile dataset into our dashboard, can you run all three reports — quality audit, string normalization, and numeric distribution — on the 200 rows to catch any bad data or inconsistent station group names?"}],"resultDescription":"Returns three independent analytical reports for the submitted rows: (1) a record quality audit flagging missing, null, or out-of-range values; (2) a string normalization report cleaning station_group and date fields; (3) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram) for the selected numeric field (tile_count or processing_seconds). All analysis is performed locally with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, station_group, date, tile_count, processing_seconds) on any row causes rejection","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Selecting a field value outside the enum ['tile_count','processing_seconds'] returns an error","Payment failure or insufficient USDC balance prevents processing","Empty rows array is rejected by minItems:1 constraint"],"whenToPreferThis":"Use this endpoint when you have geospatial tile processing records (up to 200 rows) and need all three analytical operations — quality auditing, string normalization, and numeric distribution — bundled into a single cost-efficient call ($0.01 USDC). It is best suited for offline/batch data validation and exploration without needing real-time lookups, external predictions, or live geospatial data fetching. Prefer it over general-purpose analytics services when the data schema maps directly to tile_count and processing_seconds fields with station groups and dates.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:10:36.744Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-data-quality-distribution-analyzer-7e7fe7d5"}