{"uid":"cap_vNBuFab3f7Q1j_Miv-06N","slug":"style-guide-audits-string-normalisation-daily-sum-series-32e635d3","name":"Style Guide Audits — String Normalisation + Daily Sum Series","description":"Style guide audits — String normalisation + Daily sum series: String normalisation + Daily sum series 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-05-027?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_2DKcJW7V9H5YO5ucZLAYO","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 data: string normalisation and daily sum time series for checked_items or flagged_items across up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and a daily sum series on my style guide audit records? I have about 50 rows with checked_items and flagged_items across two document groups — please use flagged_items as the target field.","exampleUseCases":[{"title":"Daily flagged items trend for writing team","prompt":"I have 120 rows of style guide audit data from the past quarter with checked_items and flagged_items per day and document group. Can you normalize the strings and give me a daily sum series for flagged_items so I can see where violations spiked?"},{"title":"Audit data cleanup for compliance report","prompt":"We're preparing a compliance report and need our style guide audit records cleaned up. Can you run string normalisation on our document_group labels and compute a daily sum of checked_items across all 80 rows we have?"},{"title":"Compare daily audit volume across document groups","prompt":"I want to understand our daily style guide audit volume. Here are 150 rows with dates, document groups, and checked_items counts — can you normalize the strings and produce a daily sum series for checked_items?"}],"resultDescription":"Returns two independent analytical reports: (1) a string normalisation report cleaning document_group and related text fields, and (2) a daily sum time series for the selected numeric field (checked_items or flagged_items), computed locally from the supplied rows without any external lookups.","failureModes":["Rows exceeding 200 items will be rejected","Missing required fields (row_id, date, document_group, checked_items, flagged_items) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern will fail","Numeric values outside the allowed range cause schema validation errors","Empty rows array is not accepted (minItems: 1)"],"whenToPreferThis":"Use this endpoint when you have up to 200 rows of style guide audit data and need both string normalisation and a daily sum aggregation in a single low-cost call ($0.01 USDC). Ideal for offline/batch analytics on supplied data without needing live lookups, predictions, or external integrations. Prefer this over general analytics tools when the data is already structured with row_id, date, document_group, checked_items, and flagged_items fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:46.155Z","isFirstParty":false,"canonicalSlug":"style-guide-audits-string-normalisation-daily-sum-series-32e635d3"}