{"uid":"cap_HT3dtXu3_IeiG-m_EQz_e","slug":"data-collection-completeness-analyzer-record-quality-audit-string-772246fb","name":"Data Collection Completeness Analyzer — Record Quality Audit, String Normalisation & Secondary-Measure Weighted Mean","description":"Data collection completeness — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied data collection completeness records (observed_values, expected_values). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 ","url":"https://market.datapackvibe.com/x402/assistant-ib26-education-22-205?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_mn1Dl6j0uacC4QUkUzv78","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":"Audits data collection completeness records with record quality checks, string normalisation, and secondary-measure weighted mean across up to 200 rows in 3 independent reports.","exampleAgentPrompt":"Can you run the three-report completeness audit on my course data — record quality audit, string normalisation, and weighted mean — for these rows: row-1, group-a, 2026-10-01, observed 10, expected 1; row-2, group-b, 2026-10-02, observed 20, expected 2? Use observed_values as the field.","exampleUseCases":[{"title":"Education data completeness audit","prompt":"I have a batch of 50 course group records with observed and expected values collected over October 2026 — can you run the record quality audit, string normalisation, and secondary-measure weighted mean reports on them to flag any completeness issues?"},{"title":"Weighted mean for course completion tracking","prompt":"Can you compute the secondary-measure weighted mean across these course group rows for me? I've got observed vs expected values for groups A and B from 2026-10-01 through 2026-10-04, field is observed_values — I need all three reports including the quality audit."},{"title":"String normalisation check on intake data","prompt":"Run a string normalisation and record quality audit on my data collection completeness records — here are 30 rows with row IDs, course groups, dates, and observed vs expected values — I want to catch any formatting inconsistencies before I submit the dataset."}],"resultDescription":"Returns 3 independent analytical reports for the submitted rows (up to 200): (1) a record quality audit flagging data issues, (2) a string normalisation report cleaning and standardising string fields, and (3) a secondary-measure weighted mean computed over the observed_values or expected_values field — all processed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, observed_values, expected_values) cause row-level rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Null numeric values may affect weighted mean computation","Values outside ±1,000,000,000,000 range are rejected"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality pipeline — record auditing, string normalisation, and weighted mean statistics — on education or course-group completeness records in a single low-cost call. It is especially well-suited for batch offline analysis of up to 200 rows where no live data lookup, prediction, or external action is required. At $0.01 USDC for all three reports, it is cost-effective for recurring data quality checks on observed vs expected value datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:39:39.312Z","isFirstParty":false,"canonicalSlug":"data-collection-completeness-analyzer-record-quality-audit-string-772246fb"}