{"uid":"cap_y_4jyQREhpXV84JPGe-kb","slug":"geospatial-tile-processing-record-quality-audit-string-normalisation-bd00d289","name":"Geospatial Tile Processing — Record Quality Audit + String Normalisation + Date by Category Pivot","description":"Geospatial tile processing — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot 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-21-206?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_BVdMnilt4T_aJ_vI_eTOo","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 three local analytical reports on geospatial tile processing data: a record quality audit, string normalisation, and a date-by-category pivot for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and date-by-category pivot on my geospatial tile processing data? Here are my rows with tile_count as the target field — I have station groups like 'group-a' and 'group-b' with dates from 2026-10-01 through 2026-10-04 and up to 200 records.","exampleUseCases":[{"title":"Tile processing data quality check","prompt":"I've got a batch of geospatial tile processing logs with station groups, dates, tile counts, and processing times — can you audit the record quality, normalise the station group strings, and pivot the tile_count by date and category? I have about 50 rows."},{"title":"Station group string normalisation for pipeline","prompt":"My tile processing pipeline output has inconsistent station_group labels across 120 rows. Can you run string normalisation plus a record quality audit and a date-based pivot on the processing_seconds field so I can clean things up?"},{"title":"Monthly tile metrics pivot report","prompt":"I need a summary pivot of my tile processing records broken down by date and station group — please also include the record quality audit and string normalisation reports. I'll send you the rows with tile_count and processing_seconds for up to 200 entries."}],"resultDescription":"Returns three independent analytical reports for the supplied rows: (1) a record quality audit flagging completeness and validity issues, (2) a string normalisation report for station_group and other text fields, and (3) a date-by-category pivot summarising the selected numeric field (tile_count or processing_seconds) grouped by date and station_group. All analysis is performed locally on the submitted data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (must match YYYY-MM-DD pattern) — row may be flagged or rejected","Missing required fields (row_id, station_group, date, tile_count, processing_seconds) — validation error returned","Numeric values outside allowed range (±1,000,000,000,000) — schema validation error","Empty rows array — request rejected with minItems violation","Invalid field enum value (must be 'tile_count' or 'processing_seconds') — schema error"],"whenToPreferThis":"Choose this endpoint when you have geospatial tile processing records (with tile_count and processing_seconds metrics) and need all three of a quality audit, string normalisation, and date-by-category pivot in a single low-cost call. It is ideal for small-to-medium batch analytical jobs (up to 200 rows) where no external data enrichment, live lookup, or prediction is needed — just local statistical and data-quality reports on your own submitted records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:34.384Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-record-quality-audit-string-normalisation-bd00d289"}