{"uid":"cap_f08rm_W6IggKZUZWapciu","slug":"geospatial-tile-processing-record-quality-audit-grouped-numeric-summary-9c111936","name":"Geospatial Tile Processing — Record Quality Audit + Grouped Numeric Summary","description":"Geospatial tile processing — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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-21-005?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_p52Ism1eDwfAOXVKp5dqe","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 a record quality audit and a grouped numeric summary on up to 200 geospatial tile processing rows (tile_count, processing_seconds), returning two analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and a grouped numeric summary on my geospatial tile processing data? I have rows with row_id, station_group, date, tile_count, and processing_seconds — about 150 rows — and I want to summarize by tile_count grouped by station_group.","exampleUseCases":[{"title":"Pipeline data quality check","prompt":"I have a batch of geospatial tile processing records from last month — around 180 rows with tile counts and processing times per station group — can you audit them for quality issues and also give me a grouped summary of tile_count by station_group?"},{"title":"Processing time anomaly investigation","prompt":"My tile processing pipeline logged 120 records across several station groups. Can you run a quality audit to flag any bad rows and then summarize processing_seconds grouped by station so I can spot which groups are taking longer?"},{"title":"Daily tile count grouped report","prompt":"I've got about 90 rows of geospatial tile processing data from this week, each with a date, station_group, tile_count, and processing_seconds. Please audit the records for quality problems and give me a grouped numeric summary of tile_count across station groups."}],"resultDescription":"Returns two reports: (1) a record quality audit identifying missing, null, or out-of-range values across the supplied rows, and (2) a grouped numeric summary aggregating the selected field (tile_count or processing_seconds) by station_group, including statistics such as counts, means, and totals per group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Rows array is empty (minItems:1 violated) — validation error","More than 200 rows supplied (maxItems:200 violated) — request rejected","row_id missing or empty string — schema validation error","date field does not match YYYY-MM-DD pattern — validation error","field enum value is neither tile_count nor processing_seconds — schema error","All values for the selected field are null — summary may be empty or degenerate"],"whenToPreferThis":"Choose this endpoint when you have up to 200 geospatial tile processing records with tile_count and/or processing_seconds metrics and need both a data quality audit and a grouped numeric summary in a single low-cost call. It is ideal for validating pipeline output data before downstream use or for quickly profiling station-group performance without setting up a local analytics environment. Prefer it over general-purpose data tools when cost predictability ($0.01 USDC for two reports) and simplicity matter.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:14.802Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-record-quality-audit-grouped-numeric-summary-9c111936"}