{"uid":"cap_MbzOTPtJSi9iJY1CMZBER","slug":"article-publication-data-quality-string-normalisation-duplicate-key-73af7423","name":"Article Publication Data Quality — String Normalisation + Duplicate Key Report","description":"Article publication — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied article publication records (published_articles, word_count). 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-news-01-021?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}}},"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_3OWEDoP_szFGlRzeafXQ8","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 string normalisation and duplicate key detection on batches of article publication records (published_articles, word_count) and returns two analytical reports.","exampleAgentPrompt":"Can you check these article publication records for duplicate keys and normalise the strings? I have up to 50 rows with fields like row_id, channel_group, date, published_articles, and word_count — I need both the duplicate key report and the string normalisation report back.","exampleUseCases":[{"title":"News CMS data quality audit","prompt":"I exported 80 rows from our news CMS with columns row_id, channel_group, date, published_articles, and word_count — can you run duplicate key detection and string normalisation on them so I can find any messy or repeated entries before I import them into our reporting dashboard?"},{"title":"Content channel deduplication check","prompt":"We have a batch of 120 article publication records across different channel groups and I suspect there are duplicate row_ids and inconsistent string casing in the channel_group field — can you run both the duplicate key report and string normalisation report on them?"},{"title":"Pre-aggregation validation of article metrics","prompt":"Before I aggregate our weekly published_articles and word_count totals, can you scan these 40 article publication rows for any duplicate keys and normalise the string fields so the grouping doesn't break on whitespace or case differences?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report highlighting inconsistencies, case variations, whitespace issues, or other string anomalies in the channel_group and date fields; (2) a duplicate key report identifying rows with repeated or conflicting key combinations. Covers up to 200 input rows per call.","failureModes":["Exceeding 200 rows per request returns a validation error","Missing required fields (row_id, channel_group, date, published_articles, word_count) causes row-level rejection","Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected","Empty rows array returns an error (minItems: 1)","Numeric fields outside the allowed range trigger schema validation failures"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local analytical data quality checks on article publication records specifically — no external lookups or live data enrichment, just fast string normalisation and duplicate key detection on up to 200 rows for a flat $0.01 USDC. Ideal for pre-processing pipelines before aggregation, import, or reporting where data consistency matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:55:32.851Z","isFirstParty":false,"canonicalSlug":"article-publication-data-quality-string-normalisation-duplicate-key-73af7423"}