{"uid":"cap_jOcAOi26I4DIsK05T1cTP","slug":"label-review-analytics-duplicate-key-report-equal-width-histogram-a39f25ed","name":"Label Review Analytics: Duplicate Key Report + Equal-Width Histogram","description":"Label review — Duplicate key report + Equal-width histogram: Duplicate key report + Equal-width histogram 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-12-064?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_FU5vuWPnY8kjZDrMz9crp","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 duplicate key report and an equal-width histogram for reviewed_records or changed_labels, up to 200 rows.","exampleAgentPrompt":"Check my label review data for duplicate row IDs and also show me an equal-width histogram of the reviewed_records field split into 8 bins — here are my records: row-1 group-a 2026-10-01 reviewed=10 changed=1, row-2 group-b 2026-10-02 reviewed=20 changed=2, row-3 group-a 2026-10-03 reviewed=15 changed=3.","exampleUseCases":[{"title":"Duplicate detection in annotation pipeline","prompt":"I have 150 rows of label review records from our annotation pipeline and I want to know if any row IDs appear more than once — can you run a duplicate key report on them and also give me a histogram of reviewed_records across 5 bins?"},{"title":"Distribution check for changed labels","prompt":"Run an equal-width histogram with 10 bins on the changed_labels field for my label review dataset, and while you're at it flag any duplicate row keys — I have about 80 rows across two dataset groups."},{"title":"QA audit of ML labeling batch","prompt":"I'm doing a QA audit on a batch of 200 label review records. Can you check for duplicate row IDs and show me how the reviewed_records values are distributed across 6 equal-width buckets?"}],"resultDescription":"Returns two independent reports: (1) a duplicate key report listing any row_ids that appear more than once in the submitted data, and (2) an equal-width histogram showing the frequency distribution of the chosen numeric field (reviewed_records or changed_labels) across the specified number of bins, with bin boundaries and counts.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the maximum and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Bins parameter outside 1–30 range is rejected","Null values in the selected histogram field may produce empty or partial histogram bins","Non-numeric values in reviewed_records or changed_labels cause schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both duplicate key detection and a numeric distribution histogram on label review data in a single low-cost call ($0.01 USDC). It is ideal for ML labeling pipeline QA, annotation data audits, or any workflow where you want to simultaneously validate row uniqueness and understand the spread of reviewed_records or changed_labels across equal-width buckets, without requiring external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:46.213Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-duplicate-key-report-equal-width-histogram-a39f25ed"}