{"uid":"cap_n03IlQfuqt4FnRSThmjLz","slug":"geospatial-tile-processing-record-quality-audit-exact-row-12d8925d","name":"Geospatial Tile Processing — Record Quality Audit + Exact Row Deduplication + Daily Sum Series","description":"Geospatial tile processing — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum series 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-21-215?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_bdhARzslxTHBvwPj_J47a","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 analytical reports on geospatial tile processing data: a record quality audit, exact row deduplication, and a daily sum time series, all in one call for up to 200 rows.","exampleAgentPrompt":"Can you audit the quality of my geospatial tile processing records, remove any exact duplicates, and compute daily totals for tile_count? Here are up to 200 rows with row_id, station_group, date, tile_count, and processing_seconds.","exampleUseCases":[{"title":"Daily tile count pipeline validation","prompt":"I have a batch of geospatial tile processing logs with columns row_id, station_group, date, tile_count, and processing_seconds — can you run a quality audit, deduplicate exact rows, and give me daily sums for tile_count across all 150 records?"},{"title":"Processing seconds anomaly pre-check","prompt":"Before I load these tile processing records into our data warehouse, can you audit them for quality issues, strip exact duplicates, and produce a daily sum series for processing_seconds? I have about 80 rows with date, station_group, tile_count, and processing_seconds."},{"title":"Station group data integrity review","prompt":"I need to validate my tile processing dataset — run the three reports on these 200 rows: a record quality audit, exact deduplication check, and daily totals for tile_count by date, grouped by station_group."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) an exact row deduplication report identifying and removing fully identical rows; and (3) a daily sum time series aggregating the selected numeric field (tile_count or processing_seconds) by date — all computed locally without external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, station_group, date, tile_count, processing_seconds) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern rejected","Numeric values outside allowed range cause schema validation failure","Empty rows array returns error","Invalid field enum value (not tile_count or processing_seconds) rejected"],"whenToPreferThis":"Choose this endpoint when you need three geospatial tile processing data quality operations bundled into a single low-cost call: quality auditing, deduplication, and daily aggregation. It is ideal for pre-ingestion data cleaning pipelines where tile_count and processing_seconds are the key metrics, and you have up to 200 rows. It is not suitable for real-time lookups, predictions, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:27.984Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-record-quality-audit-exact-row-12d8925d"}