{"uid":"cap_pNMS-9W9W_FmZcb0HoN-P","slug":"label-review-analytics-record-quality-audit-string-normalisation-b059743c","name":"Label Review Analytics: Record Quality Audit, String Normalisation & Adjacent Row Changes","description":"Label review — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied label review records (reviewed_records, changed_labels). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-200?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_DOTd9tNIc3pZ3mI7ISP8u","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 three independent analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 label review records containing reviewed_records and changed_labels fields.","exampleAgentPrompt":"Can you run the three-part label review analytics — record quality audit, string normalisation, and adjacent row changes — on my dataset? I have rows with dataset_group 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, reviewed_records counts, and changed_labels counts; use reviewed_records as the target field.","exampleUseCases":[{"title":"ML annotation pipeline quality check","prompt":"I have a batch of up to 80 label review records from our annotation pipeline — each has a row_id, dataset_group, date, reviewed_records count, and changed_labels count. Can you run all three reports (record quality audit, string normalisation, and adjacent row changes) on them using changed_labels as the target field so I can spot any data quality issues before training?"},{"title":"Daily label review anomaly detection","prompt":"Here are 150 rows of daily label review data across two dataset groups with dates in October 2026, reviewed_records, and changed_labels. Please run the record quality audit, string normalisation, and adjacent row changes analysis using reviewed_records as the field — I want to catch any sudden jumps or inconsistencies between adjacent days."},{"title":"Dataset group string consistency audit","prompt":"I've got 40 label review records where I suspect the dataset_group strings might be inconsistently formatted, and I also want to see the quality audit and adjacent row changes for the changed_labels field. Can you run all three reports on these rows so I can clean up the dataset before sharing it with the team?"}],"resultDescription":"Returns three independent analytical reports for the submitted label review rows: (1) a record quality audit identifying data issues, (2) a string normalisation report highlighting inconsistencies in text fields, and (3) an adjacent row changes report showing value shifts between consecutive rows — all computed locally with no external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncation","Missing required fields (row_id, date, reviewed_records, changed_labels) causes validation failure","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Null values in both numeric fields may degrade report quality","Selecting a field not in the enum ('reviewed_records' or 'changed_labels') causes a validation error","Payment failure (insufficient USDC or x402 protocol error) prevents processing"],"whenToPreferThis":"Choose this endpoint when you need a fast, inexpensive ($0.01 USDC) three-in-one analytical check on label review data — specifically when you want record quality auditing, string normalisation detection, and adjacent row change analysis all in a single call without requiring any external data lookups or ML predictions. Best suited for datasets up to 200 rows where offline, local computation is acceptable.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:56.230Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-record-quality-audit-string-normalisation-b059743c"}