{"uid":"cap_HLiq-GeigGbMEtiyY4krM","slug":"data-validation-results-duplicate-key-report-9e130592","name":"Data Validation Results — Duplicate Key Report","description":"Data validation results - Duplicate key report: Duplicate key report for Data validation results. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded duplicate key report report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-key-duplicates?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","rule","date","checked_records","failed_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"rule":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"failed_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","rule":"group-a","row_id":"row-1","failed_records":1,"checked_records":10},{"date":"2026-10-02","rule":"group-b","row_id":"row-2","failed_records":2,"checked_records":20},{"date":"2026-10-03","rule":"group-a","row_id":"row-3","failed_records":3,"checked_records":15},{"date":"2026-10-04","rule":"group-b","row_id":"row-4","failed_records":4,"checked_records":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_3kXscDY8pRqOOZ7xS8R5h","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 up to 200 data validation records to identify duplicate keys across rules and dates, returning a bounded duplicate key report.","exampleAgentPrompt":"Check my data validation results for duplicate keys — I have 4 records: row-1 for rule group-a on 2026-10-01 with 1 failed out of 10 checked, row-2 for group-b on 2026-10-02 with 2 failed out of 20, row-3 for group-a on 2026-10-03 with 3 failed out of 15, and row-4 for group-b on 2026-10-04 with 4 failed out of 30.","exampleUseCases":[{"title":"ETL pipeline duplicate key audit","prompt":"I just ran our nightly ETL validation job and have 50 rows of results with row IDs, rule names, dates, and pass/fail counts — can you check them for any duplicate keys so I know which validation rules are producing collisions before I push to production?"},{"title":"Data quality dashboard anomaly check","prompt":"Our data quality dashboard has flagged some suspicious patterns. Here are 120 validation result records with row IDs, rule groups, dates, checked record counts, and failed record counts — run a duplicate key report so we can see which row IDs appear more than once."},{"title":"Regulatory compliance validation audit","prompt":"I need to submit a clean validation report for compliance review. Can you take these 80 validation result rows — each with a row_id, rule name like 'group-a' or 'group-b', a date in YYYY-MM-DD format, and checked and failed record counts — and generate a duplicate key report so I can confirm there are no repeated identifiers?"}],"resultDescription":"A duplicate key report summarizing which row_id values appear more than once across the submitted validation records, grouped or flagged by rule and date context, with counts of checked and failed records for each duplicate occurrence.","failureModes":["Empty rows array or missing required fields (row_id, rule, date) returns a validation error","More than 200 rows submitted returns a schema rejection","Malformed date format (not YYYY-MM-DD) causes a pattern validation failure","Non-numeric values in checked_records or failed_records fields cause type errors","Payment of 0.01 USDC not completed results in HTTP 402 and no report returned"],"whenToPreferThis":"Choose this endpoint when you have structured data validation result records (with row IDs, rules, dates, and pass/fail counts) and need a fast, cheap ($0.01 USDC) local duplicate key analysis without sending data to an external enrichment or forecasting service. Ideal for CI/CD pipelines, data quality dashboards, or compliance audits where you want a bounded, deterministic duplicate key report on up to 200 records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:20.949Z","isFirstParty":false,"canonicalSlug":"data-validation-results-duplicate-key-report-9e130592"}