{"uid":"cap_9IgU8-CN2zSJ1WA3ZAX27","slug":"style-guide-audits-string-normalisation-numeric-distribution-a436da98","name":"Style Guide Audits — String Normalisation + Numeric Distribution","description":"Style guide audits — String normalisation + Numeric distribution: String normalisation + Numeric distribution for supplied style guide audits records (checked_items, flagged_items). 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-writing-05-022?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","checked_items","flagged_items"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"checked_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"flagged_items":{"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","checked_items":10,"flagged_items":1,"document_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","checked_items":20,"flagged_items":2,"document_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","checked_items":15,"flagged_items":3,"document_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","checked_items":30,"flagged_items":4,"document_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["checked_items","flagged_items"],"type":"string","default":"checked_items"}}},"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_HD9u5qv0Au6-uXB1T8D0a","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 two local analytical reports on style guide audit records: string normalisation on text fields and numeric distribution analysis on checked_items or flagged_items, for up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and numeric distribution reports on my style guide audit data? I have rows with document_group, date, checked_items, and flagged_items — here are up to 200 records — and I want the analysis on the flagged_items field.","exampleUseCases":[{"title":"Writing team compliance audit analysis","prompt":"I have 150 rows of style guide audit results with document groups, dates, checked_items, and flagged_items. Can you normalize the string fields and give me a numeric distribution report on checked_items so I can see where compliance is clustered?"},{"title":"Flagged item spread across document groups","prompt":"Run a distribution analysis on the flagged_items column across my style guide audit records — I want to understand the spread and outliers. Here are my 80 audit rows with row_id, document_group, date, checked_items, and flagged_items."},{"title":"Normalizing inconsistent group labels in audit export","prompt":"My style guide audit export has messy document_group strings — can you apply string normalisation to clean them up and also give me the numeric distribution of flagged_items across these 60 rows?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report on the text fields (row_id, document_group) in the supplied rows, and (2) a numeric distribution report on the selected numeric field (checked_items or flagged_items), covering statistics such as min, max, mean, and distribution shape — all computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, document_group, date, checked_items, flagged_items) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside allowed range (-1T to +1T) are rejected","Null values in the selected numeric field may limit distribution report completeness","Invalid field selector (not 'checked_items' or 'flagged_items') causes error"],"whenToPreferThis":"Choose this endpoint when you have structured style guide audit records (with checked_items and flagged_items columns) and need both string normalisation and numeric distribution analysis in a single low-cost call, without requiring external data, live lookups, or professional editorial assessment. Ideal for batch pre-processing or QA pipelines on writing compliance data up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:50.770Z","isFirstParty":false,"canonicalSlug":"style-guide-audits-string-normalisation-numeric-distribution-a436da98"}