{"uid":"cap_zcNTeqzBsY4HUyfNJ2-DD","slug":"label-review-record-quality-audit-category-frequencies-8077b6dc","name":"Label Review — Record Quality Audit + Category Frequencies","description":"Label review — Record quality audit + Category frequencies: Record quality audit + Category frequencies 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-12-006?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_WvsKtLeTXQ9tCIzM3gpQZ","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 local analytical reports on label review data: a record quality audit and category frequency analysis for reviewed_records and changed_labels, covering up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and category frequency report on my label review data? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 reviewed records and 1 changed label, row-2 for group-b on 2026-10-02 with 20 reviewed and 2 changed, row-3 for group-a on 2026-10-03 with 15 reviewed and 3 changed, and row-4 for group-b on 2026-10-04 with 30 reviewed and 4 changed.","exampleUseCases":[{"title":"ML annotation pipeline quality check","prompt":"I want to audit the quality of last week's label review — I have 5 rows of data with dataset groups 'images' and 'text', each with a date, number of reviewed records, and how many labels were changed. Can you give me a record quality audit and category frequency breakdown?"},{"title":"Label change frequency by dataset group","prompt":"Can you analyze how frequently labels are being changed across my dataset groups? I have 8 rows of label review data spanning October with groups 'batch-A' and 'batch-B', reviewed record counts, and changed label counts per day — I want the category frequency report."},{"title":"Spotting data quality issues in review logs","prompt":"Run a quality audit on my label review logs — I've got 12 rows covering three dataset groups from 2026-09-01 to 2026-09-12, each with reviewed_records and changed_labels counts. Flag any quality issues and show me the category frequencies."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit highlighting completeness, anomalies, or issues in the supplied label review rows, and (2) a category frequency analysis showing the distribution of reviewed_records and changed_labels across dataset_group values — all computed locally with no external lookups.","failureModes":["Empty rows array or missing required fields (row_id, date, reviewed_records, changed_labels) causes validation error","More than 200 rows submitted exceeds the batch limit","Date strings not matching YYYY-MM-DD pattern are rejected","Numeric values outside the allowed range (-1e12 to 1e12) are rejected","Null values for reviewed_records or changed_labels may affect audit completeness"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of label review data and need both a record quality audit and category frequency analysis in a single low-cost call ($0.01 USDC). It is ideal for ML/annotation pipelines where you want to assess data integrity and understand label change distributions across dataset groups without any external lookups or live model inference.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:44.224Z","isFirstParty":false,"canonicalSlug":"label-review-record-quality-audit-category-frequencies-8077b6dc"}