{"uid":"cap_DsGyIeqQZvw4aRgKqbUhW","slug":"data-collection-completeness-numeric-distribution-secondary-measure-aded3b00","name":"Data Collection Completeness — Numeric Distribution + Secondary-Measure Weighted Mean","description":"Data collection completeness — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean 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-22-082?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_xMKXslmBZ1xLqbvd5bjhg","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":"Computes a numeric distribution and a secondary-measure weighted mean for data collection completeness records (observed vs. expected values), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and weighted mean analysis on my data collection completeness records? I have rows with course_group, date, observed_values, and expected_values — analyze the observed_values field across up to 200 rows and give me both reports.","exampleUseCases":[{"title":"Course group completeness audit","prompt":"I have completeness records for two course groups over the past week — each row has a date, course_group, observed_values, and expected_values. Can you compute a numeric distribution and weighted mean on the observed_values so I can see where data collection is falling short?"},{"title":"Expected values distribution check","prompt":"Run a numeric distribution and secondary-measure weighted mean on the expected_values field for my education dataset — I'll supply rows with row_id, course_group, date, observed_values, and expected_values, up to 150 rows total."},{"title":"Multi-date completeness trend summary","prompt":"I've got about 80 rows of data collection completeness records spanning October 2026, each with a course_group and observed vs. expected values. Can you give me both the numeric distribution report and the weighted mean report on the observed_values field?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution of the selected field (observed_values or expected_values) across all supplied rows, and (2) a secondary-measure weighted mean where one field weights the other. Results are computed locally from the supplied data without any external lookup or prediction.","failureModes":["Fewer than 1 row supplied — minimum of 1 row required","More than 200 rows supplied — exceeds maximum row limit","Invalid date format (must be YYYY-MM-DD)","Missing required fields (row_id, observed_values, or expected_values) on any row","Values outside the numeric range [-1,000,000,000,000 to 1,000,000,000,000]","Invalid field selector — must be 'observed_values' or 'expected_values'","Payment failure or insufficient USDC balance"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous statistical reports — a numeric distribution plus a weighted mean — on data collection completeness records (observed vs. expected pairs) in an education or structured data context, with up to 200 rows per call and a fixed low cost of $0.01 USDC for both reports. Prefer it over general analytics APIs when you specifically need offline, no-external-lookup computation on completeness metrics grouped by course or category.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-06T00:34:26.010Z","isFirstParty":false,"canonicalSlug":"data-collection-completeness-numeric-distribution-secondary-measure-aded3b00"}