{"uid":"cap_dD53aJSEUAwxzzzI4lLlm","slug":"coordinate-quality-checks-category-frequencies-date-by-category-pivot-d2644645","name":"Coordinate Quality Checks — Category Frequencies + Date by Category Pivot","description":"Coordinate quality checks — Category frequencies + Date by category pivot: Category frequencies + 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-23-110?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_98oBAaAWgFAKdxgnHzc_i","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":"Generates two local analytical reports (category frequencies and date-by-category pivot) for coordinate quality check records containing checked_points and flagged_points fields.","exampleAgentPrompt":"I have coordinate quality check records for station groups A and B across several dates — can you run a category frequency report and a date-by-category pivot on the checked_points field for up to 200 rows of data?","exampleUseCases":[{"title":"Station group flagged point analysis","prompt":"I have 150 rows of coordinate QC data with station groups and dates — can you give me a frequency breakdown by category and a pivot of flagged_points by date and station group so I can see where issues are concentrated?"},{"title":"Checked points distribution over time","prompt":"Run a category frequency report and a date-by-category pivot on my checked_points data across these station groups — I want to understand how the volume of checked points is distributed over dates."},{"title":"Quality audit summary for multiple groups","prompt":"I need two reports on this coordinate quality dataset: one showing how often each station group appears, and one pivoting the checked_points totals by date and group. Can you do both at once?"}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing counts/distributions of station_group values, and (2) a date-by-category pivot table crossing dates against station groups for the selected numeric field (checked_points or flagged_points). Both reports cover up to 200 input rows and are computed locally without external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, station_group, checked_points, flagged_points) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside allowed range cause validation errors","Empty rows array returns an error","Invalid field enum value (not checked_points or flagged_points) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular coordinate quality check data (with checked_points and flagged_points columns) and need two quick analytical summaries — category frequencies and a date-by-category pivot — without any external data lookups or predictions. Best for datasets up to 200 rows where you want both reports in a single $0.01 call. Not suitable if you need live sensor data, geospatial lookups, trend predictions, or reports on more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:56:47.066Z","isFirstParty":false,"canonicalSlug":"coordinate-quality-checks-category-frequencies-date-by-category-pivot-d2644645"}