{"uid":"cap_3f5XATl_3XkiAHpmfkVSi","slug":"editorial-review-data-audit-record-quality-string-normalisation-d5d16fda","name":"Editorial Review Data Audit: Record Quality, String Normalisation & Numeric Row Ordering","description":"Editorial review — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied editorial review records (comment_count, resolved_comments). 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-writing-03-196?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","comment_count","resolved_comments"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"comment_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"document_group":{"type":"string","default":"","maxLength":80},"resolved_comments":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","comment_count":10,"document_group":"group-a","resolved_comments":1},{"date":"2026-10-02","row_id":"row-2","comment_count":20,"document_group":"group-b","resolved_comments":2},{"date":"2026-10-03","row_id":"row-3","comment_count":15,"document_group":"group-a","resolved_comments":3},{"date":"2026-10-04","row_id":"row-4","comment_count":30,"document_group":"group-b","resolved_comments":4}],"maxItems":200,"minItems":1},"field":{"enum":["comment_count","resolved_comments"],"type":"string","default":"comment_count"}}},"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_JMnr_OUhy-L7SE4w-mwGN","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":"Audits editorial review records (comment_count, resolved_comments) for data quality issues, normalises string fields, and sorts rows numerically — delivering 3 independent reports for up to 200 rows.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and numeric row ordering on my editorial review records? I have 4 rows with fields row_id, document_group, date, comment_count, and resolved_comments — please sort by comment_count.","exampleUseCases":[{"title":"Audit document review comment data","prompt":"I've got a batch of editorial review records with comment counts and resolved comments across a few document groups — can you check them for data quality issues, normalise the text fields, and sort the rows by comment_count? Here are up to 50 rows to process."},{"title":"Validate resolved comments before reporting","prompt":"Before I submit my weekly editorial report, can you run a quality audit on my resolved_comments data for about 120 rows, normalise the document_group strings, and give me the rows ordered numerically by resolved_comments?"},{"title":"Clean editorial workflow data export","prompt":"I exported editorial review records from our system — 80 rows with date, document_group, comment_count, and resolved_comments. Can you audit the record quality, clean up any string inconsistencies, and return them sorted by comment_count?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging issues in the supplied editorial review rows, (2) a string normalisation report for text fields such as document_group, and (3) a numeric row ordering report sorting rows by the selected field (comment_count or resolved_comments). All processing is done locally on the supplied data with no external lookups.","failureModes":["Rows array empty or missing — minimum 1 row required","More than 200 rows supplied — exceeds maximum batch size","Invalid date format (must match YYYY-MM-DD pattern)","row_id missing or empty string — required field","Numeric fields (comment_count, resolved_comments) out of allowed range (±1,000,000,000,000)","Invalid field enum value — must be 'comment_count' or 'resolved_comments'","Malformed JSON body — request rejected"],"whenToPreferThis":"Choose this endpoint when you have editorial review tabular data (with comment_count and resolved_comments fields) and need a combined data quality audit, string normalisation, and numeric sort in a single low-cost call. It is ideal for pre-reporting data cleaning of document review workflows with up to 200 rows, requiring no external lookups or predictions — purely local analytical processing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:41:44.586Z","isFirstParty":false,"canonicalSlug":"editorial-review-data-audit-record-quality-string-normalisation-d5d16fda"}