{"uid":"cap_UbyXTojLpBQCagfoftJq8","slug":"coordinate-quality-checks-record-quality-audit-date-by-category-pivot-aed1129d","name":"Coordinate Quality Checks — Record Quality Audit + Date by Category Pivot","description":"Coordinate quality checks — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied coordinate quality checks records (checked_points, flagged_points). 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-23-017?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","checked_points","flagged_points"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"station_group":{"type":"string","default":"","maxLength":80},"checked_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"flagged_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","station_group":"group-a","checked_points":10,"flagged_points":1},{"date":"2026-10-02","row_id":"row-2","station_group":"group-b","checked_points":20,"flagged_points":2},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","checked_points":15,"flagged_points":3},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","checked_points":30,"flagged_points":4}],"maxItems":200,"minItems":1},"field":{"enum":["checked_points","flagged_points"],"type":"string","default":"checked_points"}}},"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_8yJR1M7aCGzujouoN9zlz","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 local analytical reports on coordinate quality check data: a per-row record quality audit and a date-by-category pivot, for up to 200 rows of checked/flagged point counts.","exampleAgentPrompt":"Can you run a record quality audit and date-by-category pivot on my coordinate check data? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 checked_points and 1 flagged, row-2 for group-b on 2026-10-02 with 20 checked and 2 flagged, row-3 for group-a on 2026-10-03 with 15 checked and 3 flagged, row-4 for group-b on 2026-10-04 with 30 checked and 4 flagged — use checked_points as the primary field.","exampleUseCases":[{"title":"Station group flagging rate audit","prompt":"I've got daily coordinate quality records for two station groups over the past week — can you audit them row by row and also pivot the flagged_points by date and group so I can see where quality is dropping?"},{"title":"Checked points trend by category","prompt":"Run a quality audit and a date-by-category pivot on these 10 rows of coordinate check data using checked_points as the field — I want to see if any station groups have consistently low check counts across dates."},{"title":"Data QA before geospatial ingestion","prompt":"Before I ingest this batch of coordinate measurements, can you do a record quality audit and pivot the checked_points by date and station_group across my 50 rows so I can catch any anomalies?"}],"resultDescription":"Returns two independent analytical reports: (1) a per-row record quality audit flagging data issues, completeness, and anomalies for each supplied row, and (2) a date-by-category pivot summarizing the chosen metric (checked_points or flagged_points) broken down by date and station_group. All analysis is performed locally on the supplied data — no external lookups or live data sources are used.","failureModes":["More than 200 rows supplied — request rejected or truncated","Missing required fields (row_id, date, station_group, checked_points, flagged_points) cause row-level errors","Invalid date format (non-YYYY-MM-DD) fails pattern validation","field enum value not one of checked_points or flagged_points causes rejection","Null numeric values may produce incomplete pivot cells","Payment of 0.01 USDC not confirmed — request blocked"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of coordinate quality check data (checked_points, flagged_points per station group and date) and need both a row-level record quality audit and a date-by-category pivot in a single low-cost call. It is purpose-built for offline/local analysis of geospatial measurement QA data with no dependency on live external services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:43:13.060Z","isFirstParty":false,"canonicalSlug":"coordinate-quality-checks-record-quality-audit-date-by-category-pivot-aed1129d"}