{"uid":"cap_zTHHiP-063g37JrAW7f00","slug":"data-collection-completeness-numeric-interval-filter-secondary-5ba92bc3","name":"Data Collection Completeness — Numeric Interval Filter + Secondary-Measure Weighted Mean","description":"Data collection completeness — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + 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-22-132?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_D652OCHuq7rm7sQVZ6pdi","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":"Filters data collection completeness records by a numeric interval on one field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 rows of course data collection completeness records with observed and expected values for groups like 'group-a' and 'group-b' — can you filter the observed_values between 0 and 100 and compute a weighted mean report using expected_values as the secondary measure?","exampleUseCases":[{"title":"Course completion gap analysis","prompt":"I have completeness records for two course groups across October 2026 — filter the observed_values between 5 and 30, then give me a secondary-measure weighted mean using expected_values across all 4 rows for group-a and group-b."},{"title":"Education data quality audit","prompt":"Can you run a numeric interval filter on my 80 education completeness rows, keeping only records where expected_values fall between 1 and 500, and return a weighted mean report weighted by observed_values?"},{"title":"Completeness threshold monitoring for curriculum","prompt":"I've got completeness data for our curriculum tracking system — 120 rows with observed and expected values per course group. Filter out anything outside the 10 to 200 range on observed_values and give me a weighted mean summary using expected_values as the weight."}],"resultDescription":"Returns two analytical reports covering: (1) the subset of input rows whose selected field falls within the specified [minimum, maximum] interval, and (2) a secondary-measure weighted mean computed across those filtered records, all derived locally from the supplied data without external lookups.","failureModes":["Missing required fields (row_id, observed_values, expected_values) causes validation error","More than 200 rows submitted exceeds the maximum row limit","Invalid date format (non YYYY-MM-DD) triggers pattern validation failure","Null values in the weight/measure field may affect weighted mean calculation","minimum greater than maximum produces an empty filtered result set","Payment failure via x402 protocol prevents endpoint execution"],"whenToPreferThis":"Choose this endpoint when you have up to 200 education or data collection completeness records and need both interval-based numeric filtering and a weighted mean statistic in a single low-cost call ($0.01 USDC for 2 reports). Prefer this over general-purpose analytics tools when working specifically with observed/expected value completeness pairs organized by course group and date.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:35:54.903Z","isFirstParty":false,"canonicalSlug":"data-collection-completeness-numeric-interval-filter-secondary-5ba92bc3"}