{"uid":"cap_2o2ZZMYrbVBPMvxUMV7FL","slug":"label-review-record-quality-audit-exact-row-deduplication-0a1cd76c","name":"Label Review — Record Quality Audit + Exact Row Deduplication","description":"Label review — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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-12-002?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_vZevuOkICvFcDZc5jMGcq","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 analytical reports on label review data: a record quality audit and exact row deduplication, for up to 200 rows of reviewed_records and changed_labels data.","exampleAgentPrompt":"Can you run a record quality audit and exact deduplication check on my label review data? Here are my rows: row-1, 2026-10-01, group-a, 10 reviewed records, 1 changed label; row-2, 2026-10-02, group-b, 20 reviewed records, 2 changed labels — up to 200 rows total.","exampleUseCases":[{"title":"ML annotation data quality check","prompt":"I have a batch of label review records from our annotation team — each row has a date, dataset group, number of reviewed records, and changed labels. Can you audit them for quality issues and flag any exact duplicate rows? I'll send you up to 150 rows."},{"title":"Deduplication before label aggregation","prompt":"Before I aggregate our label review stats by dataset group, I want to make sure there are no duplicate rows in the export. Can you run an exact row deduplication report on these records — they have row IDs, dates, group names, reviewed_records, and changed_labels columns?"},{"title":"Validating label review pipeline output","prompt":"Our labeling pipeline spit out a CSV of reviewed records with changed_labels counts per day and group. Can you do a record quality audit on it and also check if any rows are exact duplicates? There are about 80 rows across group-a and group-b."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit highlighting data issues such as nulls, out-of-range values, or malformed fields in the reviewed_records and changed_labels columns; and (2) an exact row deduplication report identifying rows that are identical across all fields. No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, reviewed_records, changed_labels) — validation error","Malformed date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (-1T to 1T) — rejected","Empty input array — rejected with minItems violation"],"whenToPreferThis":"Choose this endpoint when you need a fast, cheap ($0.01 USDC), offline-only dual-report check on label review tabular data — specifically combining a record quality audit with exact row deduplication in a single call. Ideal for ML/annotation pipelines where you want to validate reviewed_records and changed_labels fields before aggregation or downstream processing. Not suitable if you need fuzzy deduplication, predictive analytics, external data enrichment, or processing more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:53:17.903Z","isFirstParty":false,"canonicalSlug":"label-review-record-quality-audit-exact-row-deduplication-0a1cd76c"}