{"uid":"cap__ckad8WUJrYrbcoRP_55l","slug":"article-publication-data-quality-audit-string-normalisation-numeric-e69fee27","name":"Article Publication Data Quality Audit, String Normalisation & Numeric Interval Filter","description":"Article publication — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied article publication records (published_articles, word_count). 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-news-01-197?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","published_articles","word_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"word_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"channel_group":{"type":"string","default":"","maxLength":80},"published_articles":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","word_count":1,"channel_group":"group-a","published_articles":10},{"date":"2026-10-02","row_id":"row-2","word_count":2,"channel_group":"group-b","published_articles":20},{"date":"2026-10-03","row_id":"row-3","word_count":3,"channel_group":"group-a","published_articles":15},{"date":"2026-10-04","row_id":"row-4","word_count":4,"channel_group":"group-b","published_articles":30}],"maxItems":200,"minItems":1},"field":{"enum":["published_articles","word_count"],"type":"string","default":"published_articles"},"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_RonTbBMxd-Eje1dsQ9svY","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 three analytical reports on article publication records: record quality audit, string normalisation, and numeric interval filtering for published_articles or word_count fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric interval filter on my article publication data? I have up to 50 rows with row_id, channel_group, date, published_articles, and word_count fields — filter on the word_count field between 300 and 5000.","exampleUseCases":[{"title":"Pre-load data quality check for CMS","prompt":"Before I load this batch of 80 article publication records into the CMS, can you run a full quality audit, normalise the channel_group strings, and filter out any rows where published_articles falls outside 1 to 500? Here are the rows with row_id, channel_group, date, published_articles, and word_count."},{"title":"Editorial team word count compliance audit","prompt":"I need to check our editorial team's output data for the last quarter — can you audit data quality, normalise the channel group names, and flag any articles where word_count is outside the range 400 to 8000? I'll supply the rows."},{"title":"News channel performance data cleaning","prompt":"We have about 120 rows of daily news channel data with published_articles and word_count columns. Can you run the three-report analysis — quality audit, string normalisation, and a numeric interval filter on published_articles between 5 and 200 — so we can clean it up before analysis?"}],"resultDescription":"Three independent analytical reports per call: (1) a record quality audit highlighting missing, malformed, or invalid values across the supplied rows; (2) a string normalisation report showing standardised forms of channel_group and other string fields; (3) a numeric interval filter report listing which rows fall within or outside the specified minimum–maximum range for the chosen numeric field (published_articles or word_count). Covers up to 200 rows per call.","failureModes":["More than 200 rows submitted — API rejects with validation error","Missing required fields (row_id, channel_group, date, published_articles, word_count) cause row-level rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Minimum value greater than maximum value may produce empty filter results","Invalid field enum value (not published_articles or word_count) causes request rejection","Payment not attached or insufficient USDC causes 402 response"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality audit, string normalisation, and numeric range filter on article publication records in a single low-cost call. It is ideal for pre-processing editorial or news publishing datasets before loading into analytics pipelines, dashboards, or data warehouses. Prefer it over generic validation tools when your data specifically contains published_articles and word_count fields with channel_group categorical dimensions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:49:50.675Z","isFirstParty":false,"canonicalSlug":"article-publication-data-quality-audit-string-normalisation-numeric-e69fee27"}