{"uid":"cap_smpOMDqbJtQditYaCKAEd","slug":"copyediting-throughput-record-quality-audit-string-normalisation-a2631d82","name":"Copyediting Throughput — Record Quality Audit + String Normalisation + Adjacent Row Changes","description":"Copyediting throughput — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied copyediting throughput records (edited_words, editing_hours). 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-13-200?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","edited_words","editing_hours"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"edited_words":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"editing_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"document_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","edited_words":10,"editing_hours":1,"document_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","edited_words":20,"editing_hours":2,"document_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","edited_words":15,"editing_hours":3,"document_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","edited_words":30,"editing_hours":4,"document_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["edited_words","editing_hours"],"type":"string","default":"edited_words"}}},"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_RBuVsNP5mFdnGRoiHNgQz","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, normalises, and computes adjacent-row changes for up to 200 copyediting throughput records (edited_words, editing_hours) across three independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and adjacent row changes analysis on my copyediting throughput data — here are 50 rows with edited_words and editing_hours across several document groups, and I want the analysis focused on the edited_words field?","exampleUseCases":[{"title":"Editorial team throughput audit","prompt":"I have a spreadsheet of 120 daily copyediting records with edited_words and editing_hours per document group — can you audit them for quality issues, normalise any string inconsistencies, and show me how each row's edited_words changed compared to the previous row?"},{"title":"Detecting editing pace anomalies","prompt":"Run adjacent row changes on my editing_hours data for the last 80 sessions across three document groups so I can spot any sudden spikes or drops in editing pace."},{"title":"Data cleaning before reporting","prompt":"Before I feed my 150 copyediting throughput rows into our dashboard, can you do a record quality audit and string normalisation pass on them to catch any dirty data — focusing on the edited_words column?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging completeness, validity, and consistency issues; (2) string normalisation results for text fields like document_group; and (3) adjacent row change calculations for the selected numeric field (edited_words or editing_hours), all computed locally without external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncation","Missing required fields (row_id, document_group, date, edited_words, editing_hours) causes validation failure","Invalid date format (not YYYY-MM-DD) will fail pattern validation","Null values in the selected numeric field may affect adjacent row change calculations","Field enum value not matching 'edited_words' or 'editing_hours' causes a schema error"],"whenToPreferThis":"Choose this endpoint when you need offline, local analytical processing of copyediting throughput records without any live lookups or external data — specifically when you want all three reports (quality audit, string normalisation, adjacent row changes) in a single low-cost call for up to 200 rows. Ideal for editorial teams validating batch exports before dashboarding or reporting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-05T00:40:56.621Z","isFirstParty":false,"canonicalSlug":"copyediting-throughput-record-quality-audit-string-normalisation-a2631d82"}