{"uid":"cap_pBps70iSnQQ5ErAljopUD","slug":"style-guide-audits-exact-row-deduplication-numeric-interval-filter-5aacf717","name":"Style Guide Audits — Exact Row Deduplication + Numeric Interval Filter","description":"Style guide audits — Exact row deduplication + Numeric interval filter: Exact row deduplication + Numeric interval filter 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-05-043?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_tjAMId0J16D9ExF3GGdiA","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":"Deduplicates style guide audit rows and filters records by a numeric interval on checked_items or flagged_items, returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a style guide audit dataset with up to 200 rows — each row has a row_id, document_group, date, checked_items, and flagged_items. Can you deduplicate those rows exactly and then filter to only records where checked_items is between 5 and 50, returning 2 reports?","exampleUseCases":[{"title":"Filter audits by flagged item threshold","prompt":"I've got style guide audit records and I want to deduplicate them exactly, then filter down to only the rows where flagged_items is between 1 and 10. Here's the dataset with row_id, document_group, date, checked_items, and flagged_items — give me the 2 analytical reports."},{"title":"Clean duplicate audit entries for reporting","prompt":"My style guide audit export has duplicate rows in it. Can you run exact row deduplication on this dataset of up to 150 audit entries and also apply a numeric interval filter on checked_items from 0 to 100, so I get a clean pair of reports back?"},{"title":"Narrow down writing audits by compliance range","prompt":"I'm reviewing style guide compliance across document groups. Take this list of audit rows and deduplicate them, then filter to only records where flagged_items falls between 2 and 20, and return the 2 local analytical reports."}],"resultDescription":"Returns 2 independent analytical reports: one covering exact row deduplication results and one covering numeric interval filtering on the specified field (checked_items or flagged_items) within the given minimum and maximum bounds, applied to the supplied dataset of up to 200 style guide audit rows.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, document_group, date, checked_items, flagged_items) on any row","Date field does not match YYYY-MM-DD pattern","Minimum or maximum values outside the allowed numeric range (-1,000,000,000,000 to 1,000,000,000,000)","Invalid field enum value — must be checked_items or flagged_items","Payment not included or insufficient — endpoint requires $0.01 USDC via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you have style guide audit records (with checked_items and flagged_items metrics) and need both exact row deduplication and a numeric interval filter in a single call returning 2 reports. It is a lightweight, local analytical operation — no external lookups or predictions — suitable for cleaning and narrowing audit datasets up to 200 rows at very low cost ($0.01 USDC per call).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:51.071Z","isFirstParty":false,"canonicalSlug":"style-guide-audits-exact-row-deduplication-numeric-interval-filter-5aacf717"}