{"uid":"cap_TbnbQa5NuVkHcoCVZm-H9","slug":"join-coverage-string-normalisation-and-duplicate-key-report-b6e93764","name":"Join Coverage String Normalisation and Duplicate Key Report","description":"Join coverage — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied join coverage records (matched_rows, source_rows). 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-analytics-09-021?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","matched_rows","source_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"matched_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_rows":1,"matched_rows":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_rows":2,"matched_rows":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_rows":3,"matched_rows":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_rows":4,"matched_rows":30,"dataset_group":"group-b"}],"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_JN0sQAvskXLAoviGQVUxF","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":"Analyzes join coverage records (matched_rows, source_rows) to produce string normalisation and duplicate key reports for up to 200 rows.","exampleAgentPrompt":"Can you run a string normalisation check and duplicate key report on my join coverage data? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 matched out of 1 source, row-2 for group-b on 2026-10-02 with 20 matched out of 2 source, row-3 for group-a on 2026-10-03 with 15 matched out of 3 source, and row-4 for group-b on 2026-10-04 with 30 matched out of 4 source.","exampleUseCases":[{"title":"ETL pipeline join audit","prompt":"I just ran an ETL join between my orders and customers tables and I want to check for duplicate keys and any string normalisation issues — here are my 50 coverage rows with row IDs, dataset groups, dates, and matched vs source counts. Can you run the two reports?"},{"title":"Data quality check before merge","prompt":"Before I merge these two datasets, can you analyze my join coverage records for duplicate row keys and flag any string normalisation problems? I have 120 rows across groups alpha and beta, dated from 2025-01-01 to 2025-04-30."},{"title":"Detecting duplicate keys post-join","prompt":"My join result looks off — can you run a duplicate key report on these 30 coverage rows from dataset group 'sales-2024' to see if any row IDs are duplicated, and also give me the string normalisation report?"}],"resultDescription":"Returns two independent analytical reports: (1) a string normalisation report flagging inconsistent or unnormalised string values across the supplied rows, and (2) a duplicate key report identifying any duplicate row_id or key combinations within the up to 200 provided join coverage records.","failureModes":["More than 200 rows supplied — request will be rejected or truncated","Missing required fields (row_id, date, dataset_group, matched_rows, source_rows) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you need fast, offline (no external lookup) string normalisation and duplicate key detection specifically for join coverage records with matched_rows and source_rows metrics. It is ideal for data quality audits in ETL pipelines, pre-merge checks, or post-join validation when you have up to 200 rows and want both reports in a single low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:11.899Z","isFirstParty":false,"canonicalSlug":"join-coverage-string-normalisation-and-duplicate-key-report-b6e93764"}