{"uid":"cap_zHr7IdXvGDUqi1iN0h_Sf","slug":"null-coverage-analytics-record-quality-audit-string-normalisation-9821e806","name":"Null Coverage Analytics — Record Quality Audit, String Normalisation & Category Frequencies","description":"Null coverage — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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-03-195?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_FwCB8iuc3bWes36Z52JGx","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":"Performs three analytical reports on supplied null-coverage records: a record quality audit, string normalisation, and category frequency analysis — all offline, up to 200 rows per call.","exampleAgentPrompt":"Can you run a null coverage audit on these 4 rows from my dataset — row-1 in group-a on 2026-10-01 has 10 missing out of 1 total, row-2 in group-b on 2026-10-02 has 20 missing out of 2 total, row-3 in group-a on 2026-10-03 has 15 missing out of 3 total, and row-4 in group-b on 2026-10-04 has 30 missing out of 4 total — and give me the record quality audit, string normalisation, and category frequencies?","exampleUseCases":[{"title":"Data pipeline completeness check","prompt":"I have 50 rows from my ETL pipeline with row IDs, dataset groups, dates, and counts of missing vs total values — can you run a null coverage quality audit plus category frequency breakdown on all of them so I can see which groups have the worst completeness?"},{"title":"String normalisation across dataset groups","prompt":"My dataset has mixed casing and formatting in the dataset_group field across 120 records — can you send these through the string normalisation report along with the null coverage audit so I can clean them up?"},{"title":"Missing value rate summary by group","prompt":"I need to understand how my two dataset groups, 'group-a' and 'group-b', compare in terms of missing values — here are 30 rows with dates from 2026-10-01 through 2026-10-30 — can you run the category frequencies and record quality audit on them?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit summarising null coverage health per row, (2) a string normalisation report cleaning and standardising text fields, and (3) a category frequency report showing counts and distributions across dataset_group values — all computed locally from the supplied data, with no external lookups.","failureModes":["More than 200 rows supplied — endpoint rejects payload exceeding maxItems limit","Missing required fields (row_id, dataset_group, date, missing_values, total_values) — validation error returned","Date field not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected by schema","Empty rows array (minItems: 1 not met) — request rejected","Payment not completed via x402 protocol — endpoint returns 402 before processing"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of null-coverage data (missing_values and total_values per row with dataset groups and dates) and need all three analytical outputs — quality audit, string normalisation, and category frequencies — in a single low-cost call ($0.01 USDC). It is ideal for offline, batch data quality assessment without any need for live lookups, predictions, or external data sources.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:51:54.440Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-record-quality-audit-string-normalisation-9821e806"}