{"uid":"cap_wjD96jjpx2HAMikFAeia-","slug":"label-review-analytics-record-quality-audit-secondary-measure-5201f027","name":"Label Review Analytics — Record Quality Audit & Secondary-Measure Weighted Mean","description":"Label review — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean 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-12-016?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_OnazbbBYpQ4S2GEvW8h7j","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":"Performs a record quality audit and secondary-measure weighted mean calculation on label review data (reviewed_records, changed_labels) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and weighted mean analysis on my label review data? I have 4 rows across two dataset groups — group-a with 10 reviewed_records and 1 changed_label on 2026-10-01, group-b with 20 reviewed_records and 2 changed_labels on 2026-10-02 — and I want the field set to reviewed_records.","exampleUseCases":[{"title":"Annotation batch quality check","prompt":"I just finished a labeling sprint across two dataset groups. Can you audit the record quality and compute a weighted mean for reviewed_records across these 8 rows of label review data, grouped by date and team?"},{"title":"Label change rate analysis","prompt":"I want to understand how often labels are being changed relative to records reviewed. Run a quality audit and secondary-measure weighted mean on my changed_labels field for these 50 label review rows across group-a and group-b."},{"title":"Multi-group annotation pipeline review","prompt":"We have 150 label review records from three dataset groups over the past month. Can you give me a record quality audit and a weighted mean breakdown using the reviewed_records field so I can compare group performance?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit covering data completeness, validity, and anomaly flags for the supplied label review rows, and (2) a secondary-measure weighted mean calculated over the specified field (reviewed_records or changed_labels), segmented by dataset_group and date. No external lookups or predictions are made — all analysis is performed on the supplied data only.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, reviewed_records, changed_labels) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Null or out-of-range numeric values may be excluded from weighted mean computation","Invalid enum value for 'field' parameter — error returned","Empty rows array — minimum 1 row required"],"whenToPreferThis":"Choose this endpoint when you need both a record quality audit and a weighted mean calculation on label review data in a single call for up to 200 rows. It is purpose-built for annotation and data labeling pipeline analytics, combining two analytical reports at low cost ($0.01 USDC). Prefer it over general analytics tools when your data is already structured around reviewed_records and changed_labels fields with dataset_group segmentation and you want offline, supply-data-only analysis with no external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:50.449Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-record-quality-audit-secondary-measure-5201f027"}