{"uid":"cap_LkjU3OiZT6H_Md8rBnobD","slug":"coordinate-quality-checks-numeric-distribution-two-measure-correlation-bedcffcb","name":"Coordinate Quality Checks — Numeric Distribution + Two-Measure Correlation","description":"Coordinate quality checks — Numeric distribution + Two-measure correlation: Numeric distribution + Two-measure correlation 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-23-081?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_TnjBvC5wKemxZT-BOtqET","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 (numeric distribution and two-measure correlation) on up to 200 rows of coordinate quality check data (checked_points, flagged_points).","exampleAgentPrompt":"Can you run a numeric distribution report and a two-measure correlation between checked_points and flagged_points on my coordinate quality records? I have 4 rows: row-1 (group-a, 2026-10-01, 10 checked, 1 flagged), row-2 (group-b, 2026-10-02, 20 checked, 2 flagged), row-3 (group-a, 2026-10-03, 15 checked, 3 flagged), row-4 (group-b, 2026-10-04, 30 checked, 4 flagged), and I want to analyze the checked_points field.","exampleUseCases":[{"title":"Station group QA trend analysis","prompt":"I have 50 rows of coordinate quality check records across two station groups over the past month — can you compute the numeric distribution of checked_points and also show me how checked_points and flagged_points correlate with each other?"},{"title":"Flagged point anomaly investigation","prompt":"Something seems off in our flagging rates — can you run a distribution analysis and a correlation report on my 120 rows of coordinate QA data to see if flagged_points is unusually spread or correlated with checked_points?"},{"title":"Weekly QC summary for geospatial pipeline","prompt":"Every Monday I need a stats summary of last week's coordinate checks. Can you process these 80 rows of station quality records and give me the numeric distribution of flagged_points plus the correlation between checked_points and flagged_points?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution summary for the selected field (e.g. min, max, mean, median, std dev, percentiles) and (2) a two-measure correlation report between checked_points and flagged_points — all computed locally on the supplied rows (up to 200), with no external data lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, checked_points, flagged_points) cause a schema validation failure","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Null values in both numeric fields may degrade correlation computation","Payment failure (insufficient USDC) results in a 402 response and no report"],"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 summary and a two-measure correlation in a single call. It is ideal for offline, supply-your-own-data statistical analysis with no external lookups, predictions, or professional assessments required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:39:37.425Z","isFirstParty":false,"canonicalSlug":"coordinate-quality-checks-numeric-distribution-two-measure-correlation-bedcffcb"}