{"uid":"cap_g1geaJpD9YsZiYXtaI3ph","slug":"geospatial-tile-processing-record-quality-audit-adjacent-row-changes-8547c062","name":"Geospatial Tile Processing — Record Quality Audit + Adjacent Row Changes","description":"Geospatial tile processing — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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-21-011?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_e2uCxxOkCRKQ_b44js09o","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 two analytical reports on supplied geospatial tile processing records: a record quality audit and an adjacent row changes analysis, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and adjacent row changes report on my geospatial tile processing data? I have up to 50 rows with fields like tile_count and processing_seconds grouped by station, and I want both reports analyzing tile_count.","exampleUseCases":[{"title":"Tile processing pipeline quality check","prompt":"I've got 120 rows of daily tile processing records — each with a row ID, station group, date, tile_count, and processing_seconds. Can you audit their quality and flag any adjacent row changes in tile_count?"},{"title":"Station group anomaly detection","prompt":"Run a record quality audit and adjacent row changes analysis on these geospatial tile records for station groups alpha and beta — I want to see where processing_seconds jumps unexpectedly between consecutive rows."},{"title":"Pre-analysis data validation for tile dataset","prompt":"Before I hand this tile processing dataset off to my analytics team, can you run both the quality audit and the adjacent row changes report on it, focusing on the tile_count field across all 200 rows?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, or formatting problems in the supplied rows, and (2) an adjacent row changes report highlighting differences between consecutive rows for the selected field (tile_count or processing_seconds). No external lookups or predictions are made; all analysis is performed locally on the supplied data.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, tile_count, processing_seconds) — validation error","Invalid date format (must match YYYY-MM-DD) — schema validation failure","Field selector not one of allowed enum values — rejected","Empty rows array — request rejected","Payment not included or insufficient — 402 response"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local analytical reporting on geospatial tile processing records without requiring external data lookups or live predictions. It is best suited for small-to-medium datasets (up to 200 rows) where you want both a data quality audit and a consecutive-row change detection report in a single low-cost call ($0.01 USDC). Prefer it over general analytics platforms when the data is already structured with tile_count and processing_seconds fields and you need fast, deterministic results.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:43:37.343Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-record-quality-audit-adjacent-row-changes-8547c062"}