{"uid":"cap_-esrXD-_5pCh02iXxg9Vz","slug":"data-collection-completeness-numeric-distribution-two-measure-3b6b6029","name":"Data Collection Completeness — Numeric Distribution + Two-Measure Correlation","description":"Data collection completeness — Numeric distribution + Two-measure correlation: Numeric distribution + Two-measure correlation for supplied data collection completeness records (observed_values, expected_values). 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-education-22-081?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","observed_values","expected_values"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"course_group":{"type":"string","default":"","maxLength":80},"expected_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","course_group":"group-a","expected_values":1,"observed_values":10},{"date":"2026-10-02","row_id":"row-2","course_group":"group-b","expected_values":2,"observed_values":20},{"date":"2026-10-03","row_id":"row-3","course_group":"group-a","expected_values":3,"observed_values":15},{"date":"2026-10-04","row_id":"row-4","course_group":"group-b","expected_values":4,"observed_values":30}],"maxItems":200,"minItems":1},"field":{"enum":["observed_values","expected_values"],"type":"string","default":"observed_values"}}},"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_nGapQfhZAtAyyiEDO5rHH","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 data collection completeness records by producing a numeric distribution report and a two-measure correlation report for up to 200 rows of observed vs. expected values.","exampleAgentPrompt":"Can you run a numeric distribution and two-measure correlation analysis on my data collection completeness records? I have rows with course_group, date, observed_values, and expected_values — up to 50 rows — and I want to analyze the observed_values field.","exampleUseCases":[{"title":"Course completion gap analysis","prompt":"I have weekly data collection completeness records for two course groups — group-a and group-b — with observed and expected enrollment counts for each day in October 2026. Can you run a numeric distribution and correlation analysis on the observed_values to see how spread out the data is and how well observed tracks expected?"},{"title":"Education dataset quality check","prompt":"My team collected data on expected vs. observed submissions across several course groups for Q3. Can you analyze the numeric distribution of the observed_values and compute the two-measure correlation between observed and expected values across all 120 rows?"},{"title":"Data pipeline completeness audit","prompt":"We're auditing our data pipeline completeness — I have 80 rows of records with row IDs, dates, course groups, and both observed and expected value counts. Please give me a distribution summary and a correlation report between the two measures so I can spot where collection is falling short."}],"resultDescription":"Returns two independent statistical reports: (1) a numeric distribution analysis of the selected field (e.g. observed_values) across the submitted rows, and (2) a two-measure correlation report quantifying the relationship between observed_values and expected_values — all computed locally with no external lookups or live data.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, date, observed_values, expected_values) in one or more rows","Date format not matching YYYY-MM-DD pattern","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Empty rows array — minimum 1 row required","Invalid field enum value (must be 'observed_values' or 'expected_values')","Payment of 0.01 USDC not supplied or rejected"],"whenToPreferThis":"Choose this endpoint when you have tabular data collection completeness records with observed and expected numeric values and need both a distribution summary and a correlation analysis in a single low-cost call. It is well-suited for education analytics, data quality audits, or pipeline monitoring where you want to understand both the spread of values and the relationship between two measures across up to 200 rows, without needing external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:48:37.412Z","isFirstParty":false,"canonicalSlug":"data-collection-completeness-numeric-distribution-two-measure-3b6b6029"}