{"uid":"cap_DHYtV7R45J6-D5rQM2DMq","slug":"null-coverage-analytics-record-quality-audit-string-normalisation-two-5636a5c3","name":"Null Coverage Analytics: Record Quality Audit + String Normalisation + Two-Measure Correlation","description":"Null coverage — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied null coverage records (missing_values, total_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 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-204?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","missing_values","total_values"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"missing_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_values":1,"dataset_group":"group-a","missing_values":10},{"date":"2026-10-02","row_id":"row-2","total_values":2,"dataset_group":"group-b","missing_values":20},{"date":"2026-10-03","row_id":"row-3","total_values":3,"dataset_group":"group-a","missing_values":15},{"date":"2026-10-04","row_id":"row-4","total_values":4,"dataset_group":"group-b","missing_values":30}],"maxItems":200,"minItems":1}}},"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_SPPu4IuKysklPFHBODmUs","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 three local analytical reports on null coverage data (missing_values, total_values): a record quality audit, string normalisation, and a two-measure correlation — all on up to 200 supplied rows, with no external lookups.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and correlation analysis on my null coverage data? Here are up to 200 rows, each with a row_id, dataset_group, date, missing_values, and total_values — I need all three reports back.","exampleUseCases":[{"title":"Data completeness audit for ETL pipeline","prompt":"I have a batch of up to 150 rows from our ETL pipeline with row IDs, dataset groups, dates, and counts of missing vs total values — can you run a record quality audit and tell me where the data gaps are?"},{"title":"Normalising inconsistent group labels","prompt":"Our dataset_group field has messy, inconsistent strings across about 80 rows — can you run the string normalisation report on our null coverage records to clean those up?"},{"title":"Correlation check between nulls and totals","prompt":"I want to see if there's a pattern between missing_values and total_values across my 60 dataset rows — can you run the two-measure correlation report and tell me what you find?"}],"resultDescription":"Three independent analytical reports generated from the supplied rows: (1) a record quality audit summarising completeness and data health, (2) a string normalisation report for the dataset_group and other string fields, and (3) a two-measure correlation report between missing_values and total_values. All computed locally with no external calls.","failureModes":["Rows array is empty or missing — minimum 1 row required","More than 200 rows submitted — exceeds maxItems limit","missing_values or total_values outside allowed numeric range (±1,000,000,000,000)","date field does not match YYYY-MM-DD pattern","row_id is blank or exceeds 80 characters","Additional properties on row objects rejected due to strict schema"],"whenToPreferThis":"Choose this endpoint when you need a bundled set of three data quality reports — quality audit, string normalisation, and correlation — on null coverage records in a single $0.01 call. Ideal for batch data profiling pipelines where you want offline, locally-computed analytics with no external data exposure, and where your dataset fits within 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:39:11.855Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-record-quality-audit-string-normalisation-two-5636a5c3"}