{"uid":"cap_ZooRoQfHoVyWxLWXgAIEq","slug":"label-review-record-quality-audit-duplicate-key-report-01cd9cd8","name":"Label Review — Record Quality Audit + Duplicate Key Report","description":"Label review — Record quality audit + Duplicate key report: Record quality audit + Duplicate key report for supplied label review records (reviewed_records, changed_labels). 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-12-003?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","reviewed_records","changed_labels"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"changed_labels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"reviewed_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","changed_labels":1,"reviewed_records":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","changed_labels":2,"reviewed_records":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","changed_labels":3,"reviewed_records":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","changed_labels":4,"reviewed_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__uVn7bcokYaHEy9ySNB2r","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 two independent analytical reports on label review data: a record quality audit and a duplicate key report, for up to 200 rows of reviewed_records and changed_labels data.","exampleAgentPrompt":"Can you run a record quality audit and duplicate key report on my label review data? I have 4 rows across two dataset groups — group-a and group-b — with dates from 2026-10-01 to 2026-10-04, reviewed_records counts of 10, 20, 15, and 30, and changed_labels of 1, 2, 3, and 4.","exampleUseCases":[{"title":"ML annotation pipeline quality check","prompt":"I have a batch of label review records from our annotation pipeline — 50 rows across three dataset groups logged between 2026-09-01 and 2026-09-30, with reviewed_records and changed_labels counts for each day. Can you run a record quality audit and duplicate key report so I know if there are any bad records or duplicated row IDs before I merge them into our training set?"},{"title":"Daily label review deduplication scan","prompt":"Run a duplicate key report and record quality audit on yesterday's label review export — it has about 120 rows tagged as dataset_group 'survey-batch-7', covering dates from 2026-11-01 to 2026-11-05, with reviewed_records and changed_labels values filled in for each row. I want to catch any duplicate keys or quality problems before the nightly rollup."},{"title":"Multi-team annotation quality audit","prompt":"We have label review data from two teams — group-alpha and group-beta — totaling 80 rows dated between 2026-08-15 and 2026-08-22, each row tracking reviewed_records and changed_labels. Please audit the record quality and flag any duplicate keys across both groups so we can reconcile before the weekly report."}],"resultDescription":"Returns two independent reports for the submitted rows: (1) a record quality audit identifying issues such as nulls, out-of-range values, or malformed fields in reviewed_records and changed_labels; and (2) a duplicate key report listing any row_ids or key combinations that appear more than once across the submitted dataset. No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["Submitting more than 200 rows returns an error (maxItems constraint exceeded)","Missing required fields (row_id, date, reviewed_records, changed_labels, dataset_group) cause row-level validation failures","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Payment not processed results in HTTP 402 response","Empty rows array (minItems: 1 not met) causes request rejection"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and duplicate key detection on label review records (reviewed_records + changed_labels) in a single low-cost call. It is ideal for ML annotation pipelines, data reconciliation before merges, and daily quality checks on batches up to 200 rows. Prefer it over general-purpose analytics when your data specifically involves label review workflows and you want two reports bundled for $0.01 USDC without any external lookups or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:34.568Z","isFirstParty":false,"canonicalSlug":"label-review-record-quality-audit-duplicate-key-report-01cd9cd8"}