{"uid":"cap_a3Y3nN6xoioqHmBf34jRx","slug":"label-review-analytics-string-normalisation-numeric-distribution-bd13fd3f","name":"Label Review Analytics — String Normalisation + Numeric Distribution","description":"Label review — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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-12-022?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_TYoNM6kd5YMAHqFdER0DP","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 up to 200 label-review records, producing a string normalization report and a numeric distribution report for the reviewed_records or changed_labels field.","exampleAgentPrompt":"I have 4 label review records from October 2026 — row-1 through row-4, groups a and b, with reviewed_records ranging from 10 to 30 and changed_labels from 1 to 4. Can you run the string normalization and numeric distribution reports on the reviewed_records field for me?","exampleUseCases":[{"title":"Audit annotation pipeline quality","prompt":"I've got a batch of label review records from last month — about 150 rows across several dataset groups — and I want to see the numeric distribution of reviewed_records and a string normalization report. Can you run the analytics on the reviewed_records field?"},{"title":"Spot label churn across dataset groups","prompt":"We've been reviewing labels across three dataset groups and I want to understand how changed_labels are distributed — can you run the numeric distribution and string normalization reports on our changed_labels field for these 80 review records?"},{"title":"Pre-release data validation for ML team","prompt":"Before we ship this annotation dataset, can you run the two analytical reports — string normalization and numeric distribution — on the reviewed_records column for our 200 label review rows so we can catch any anomalies?"}],"resultDescription":"Returns two independent analytical reports: (1) a string normalization report covering the string fields in the submitted records (e.g. dataset_group, date formatting), and (2) a numeric distribution report for the selected field (reviewed_records or changed_labels), including statistics such as min, max, mean, and distribution shape across up to 200 submitted rows. No external lookups or predictions are made; all analysis is performed locally on the supplied data.","failureModes":["More than 200 rows submitted — request rejected, must batch into smaller calls","Missing required fields (row_id, date, reviewed_records, changed_labels) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Numeric values outside allowed range (-1e12 to 1e12) — schema rejection","Invalid field enum value (must be reviewed_records or changed_labels) — error response","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you have tabular label-review data (up to 200 rows) and need both a string normalization check and a numeric distribution profile in a single low-cost call ($0.01 USDC). It is ideal for ML annotation pipeline audits, data quality checks before model training, and exploratory analysis of label churn. Prefer it over general-purpose analytics tools when you specifically need the reviewed_records/changed_labels schema and want a bundled two-report output without any external API dependencies or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:49.705Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-string-normalisation-numeric-distribution-bd13fd3f"}