{"uid":"cap_OrMT1qUQfv_xAzDKpUqnC","slug":"label-review-analytics-exact-row-deduplication-equal-width-histogram-51f560c8","name":"Label Review Analytics: Exact Row Deduplication + Equal-Width Histogram","description":"Label review — Exact row deduplication + Equal-width histogram: Exact row deduplication + 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-12-048?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_g4ODlwHrM_5ZdvUzAQzVa","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":"Deduplicates label review records by exact row matching and generates an equal-width histogram for a chosen numeric field (reviewed_records or changed_labels) across up to 200 rows.","exampleAgentPrompt":"I have 150 label review records with columns row_id, dataset_group, date, reviewed_records, and changed_labels — can you deduplicate them by exact row match and give me an equal-width histogram of reviewed_records using 8 bins?","exampleUseCases":[{"title":"Cleaning annotation pipeline audit logs","prompt":"I've got a CSV of label review sessions from our annotation team — up to 120 rows with row_id, date, dataset_group, reviewed_records, and changed_labels. Can you strip out any exact duplicate rows and then show me a histogram of changed_labels split into 10 equal-width bins?"},{"title":"QA check on multi-group dataset review","prompt":"We ran label reviews across two dataset groups and ended up with 80 rows, but I suspect there are duplicates. Can you deduplicate them exactly and generate a 5-bin histogram of reviewed_records so I can see the distribution?"},{"title":"Profiling label churn across review dates","prompt":"I have 200 rows of daily label review records and I want to understand how changed_labels are distributed. Please deduplicate first using exact row matching, then give me an equal-width histogram with 15 bins for changed_labels."}],"resultDescription":"Returns two reports: (1) a deduplicated set of label review rows after exact row matching, indicating which rows were removed as duplicates; (2) an equal-width histogram for the specified numeric field (reviewed_records or changed_labels) showing bin boundaries and frequency counts across the configured number of bins.","failureModes":["Exceeding 200 rows returns a validation error","Invalid date format (not YYYY-MM-DD) causes row rejection","Null values in the target histogram field may reduce effective bin coverage","bins value outside 1–30 range causes schema validation failure","Missing required fields (row_id, date, reviewed_records, changed_labels) cause row-level errors","Non-numeric values in numeric fields cause parse failures"],"whenToPreferThis":"Choose this endpoint when you have label review or annotation audit data (up to 200 rows) and need both exact duplicate removal and a histogram profile of a numeric field in a single low-cost call. It is purpose-built for the reviewed_records/changed_labels schema, making it faster and cheaper than general-purpose ETL tools for this specific data shape. Prefer it over sibling endpoints when you need histogram output specifically (not category frequencies, outlier flags, or weighted means).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:18.191Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-exact-row-deduplication-equal-width-histogram-51f560c8"}