{"uid":"cap_pN-4QzWOLt-6oOkm3c9tP","slug":"label-review-record-quality-audit-daily-sum-series-c1a34285","name":"Label Review — Record Quality Audit + Daily Sum Series","description":"Label review — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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-12-009?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},"field":{"enum":["reviewed_records","changed_labels"],"type":"string","default":"reviewed_records"}}},"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_-pq_O8mtGhySSgGfGfGg5","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 a daily sum time series, for up to 200 rows at $0.01 USDC.","exampleAgentPrompt":"Can you run a record quality audit and daily sum series on my label review data? I have rows with date, dataset_group, reviewed_records, and changed_labels — use reviewed_records as the field and check up to 200 rows across groups like 'group-a' and 'group-b'.","exampleUseCases":[{"title":"Annotation pipeline daily rollup","prompt":"I need a daily sum series for reviewed_records across my annotation label review batches — here are the rows with dates from 2026-10-01 to 2026-10-04, split across group-a and group-b. Can you run the quality audit and daily aggregation on them?"},{"title":"Spotting data quality issues in label exports","prompt":"Can you audit the quality of these label review records I exported? I want to know if there are any bad rows and also see the daily totals for changed_labels across my dataset groups."},{"title":"Tracking label change volume over time","prompt":"I want to see how many labels changed each day in my review pipeline. Run a daily sum series on the changed_labels field for these records — about 150 rows covering the last month across three dataset groups."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit flagging data issues such as nulls, out-of-range values, or malformed rows across the submitted label review records, and (2) a daily sum time series aggregating the selected field (reviewed_records or changed_labels) by date. All computation is local with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, reviewed_records, changed_labels) cause row-level errors","Malformed date strings not matching YYYY-MM-DD pattern rejected by schema","Numeric values outside allowed range (-1T to 1T) cause validation failure","Empty rows array returns an error","Invalid field enum value (not 'reviewed_records' or 'changed_labels') causes failure"],"whenToPreferThis":"Choose this endpoint when you need both a record quality audit and a daily sum time series from a single call on label review data (reviewed_records, changed_labels) at minimal cost ($0.01 USDC for up to 200 rows). It is ideal when you want local, deterministic analytics without external API calls, predictions, or professional assessments. Prefer it over general-purpose analytics tools when your data is already structured in the label review schema and you need fast, cheap dual-report output.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:53:49.142Z","isFirstParty":false,"canonicalSlug":"label-review-record-quality-audit-daily-sum-series-c1a34285"}