{"uid":"cap_QBj5DFJwQv19DHdDUizUb","slug":"coordinate-quality-checks-numeric-distribution-date-by-category-pivot-66f21b45","name":"Coordinate Quality Checks — Numeric Distribution + Date by Category Pivot","description":"Coordinate quality checks — Numeric distribution + Date by category pivot: Numeric distribution + 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-23-083?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_kDabg08iEgBjrC0Z_vMq_","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":"Analyzes coordinate quality check records by producing two local statistical reports: a numeric distribution for checked_points or flagged_points, and a date-by-station-group pivot table.","exampleAgentPrompt":"I have coordinate quality check records for two station groups over several days — can you run a numeric distribution on checked_points and pivot flagged_points by station group and date? Here's my data: row-1, group-a, 2026-10-01, checked=10, flagged=1; row-2, group-b, 2026-10-02, checked=20, flagged=2; row-3, group-a, 2026-10-03, checked=15, flagged=3.","exampleUseCases":[{"title":"QA pipeline daily distribution check","prompt":"I've got 50 rows of coordinate quality check results from today's QA run across group-a and group-b — can you give me a numeric distribution of checked_points and a pivot of flagged_points by station group and date so I can see where issues are clustering?"},{"title":"Station group anomaly summary","prompt":"Here are my coordinate quality records for the past week across three station groups — please run a numeric distribution on flagged_points and show me a date-by-group pivot so I can spot which stations are flagging the most."},{"title":"Monthly quality audit report","prompt":"I need to summarize last month's coordinate checks: I have 180 rows with station_group, date, checked_points, and flagged_points — can you produce a numeric distribution of checked_points and a date-by-category pivot of flagged_points for the audit report?"}],"resultDescription":"Returns two analytical reports computed locally from the supplied rows: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram bins) for the selected field (checked_points or flagged_points), and (2) a pivot table of date by station_group category showing aggregated values. Up to 200 rows supported per call.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, station_group, date, checked_points, or flagged_points) — validation error","Invalid date format (must match YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range — rejection","Empty rows array — error returned"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of coordinate quality check records (with checked_points and flagged_points fields) and need both a numeric distribution and a date-by-category pivot in a single low-cost call ($0.01 USDC). It operates entirely on supplied data with no external lookups, making it fast and deterministic. Prefer it over general-purpose analytics when your data fits the coordinate quality check schema with station_group and date dimensions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:52:03.272Z","isFirstParty":false,"canonicalSlug":"coordinate-quality-checks-numeric-distribution-date-by-category-pivot-66f21b45"}