{"uid":"cap_bI6x-h_567wBpMYfIyPIV","slug":"label-review-analytics-duplicate-key-report-missing-value-fill-4d491182","name":"Label Review Analytics: Duplicate Key Report + Missing Value Fill","description":"Label review — Duplicate key report + Explicit missing-value fill: Duplicate key report + Explicit missing-value fill 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-12-070?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_pSkx_45o2Oyynz4jEYYx-","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":"Analyzes label review records to produce a duplicate key report and fills missing values in a specified numeric field using zero, mean, or median imputation.","exampleAgentPrompt":"Check my label review records for duplicate row IDs and fill any missing values in the reviewed_records field using median — here are up to 200 rows with row_id, dataset_group, date, reviewed_records, and changed_labels.","exampleUseCases":[{"title":"ML annotation pipeline data cleanup","prompt":"I have a batch of up to 150 label review rows with row_id, dataset_group, date, reviewed_records, and changed_labels — can you find any duplicate row IDs and fill in any missing reviewed_records values using the median?"},{"title":"Null imputation for changed labels field","prompt":"Some rows in my label review dataset have null changed_labels values. Can you fill those in using mean imputation and also flag any duplicate keys across the 80 rows I'm sending?"},{"title":"Pre-audit deduplication for annotation QA","prompt":"Before I run my annotation QA pass, I need a duplicate key report and want any missing reviewed_records filled with zero for these 200 label review records — can you run both reports?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying row_ids or key combinations that appear more than once in the submitted data, and (2) a missing value fill report showing which rows had null values in the specified field (reviewed_records or changed_labels) and what replacement value was used (zero, mean, or median computed from the submitted rows). No external data is consulted.","failureModes":["Input array exceeds 200 rows — request rejected","row_id field missing or empty on one or more rows — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Unsupported method enum value — schema validation failure","Unsupported field enum value — schema validation failure","All values in target field are null — mean/median cannot be computed","Payment of 0.01 USDC not confirmed — request blocked"],"whenToPreferThis":"Choose this endpoint when you need two lightweight, local analytical operations — duplicate key detection and missing value imputation — applied to label review records in a single paid call. It is ideal for ML annotation pipelines, data quality audits, or pre-processing steps where you want to clean up to 200 rows cheaply ($0.01 USDC) without any external lookup, prediction, or model inference. Prefer it over general-purpose data tools when your records specifically carry reviewed_records and changed_labels fields and you want both reports bundled.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:53:50.300Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-duplicate-key-report-missing-value-fill-4d491182"}