{"uid":"cap_cErQpWUBNFjY_0wdAziXH","slug":"url-canonicalization-data-quality-audit-record-quality-string-0b95659d","name":"URL Canonicalization Data Quality Audit — Record Quality, String Normalisation & Daily Sum Series","description":"URL canonicalization — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied url canonicalization records (observed_urls, unique_urls). 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-web-20-198?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","observed_urls","unique_urls"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"site_group":{"type":"string","default":"","maxLength":80},"unique_urls":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_urls":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","unique_urls":1,"observed_urls":10},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","unique_urls":2,"observed_urls":20},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","unique_urls":3,"observed_urls":15},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","unique_urls":4,"observed_urls":30}],"maxItems":200,"minItems":1},"field":{"enum":["observed_urls","unique_urls"],"type":"string","default":"observed_urls"}}},"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_TyLhNld5rqTnNHMoqo60i","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 (record quality audit, string normalisation, and daily sum series) on up to 200 rows of URL canonicalization data containing observed_urls and unique_urls metrics.","exampleAgentPrompt":"Run a data quality audit, string normalisation, and daily sum series on my URL canonicalization dataset — here are 4 rows with dates from 2026-10-01 to 2026-10-04, site groups 'group-a' and 'group-b', and I want the analysis on the observed_urls field.","exampleUseCases":[{"title":"Crawl pipeline data quality check","prompt":"I have 50 rows of URL canonicalization records from last week's crawl — each has a date, site group, observed URL count, and unique URL count. Can you run a record quality audit, string normalisation, and daily sum series on the observed_urls field so I can spot any bad data before ingesting it?"},{"title":"Deduplication ratio monitoring","prompt":"We track unique_urls versus observed_urls daily across three site groups. Can you take these 120 rows of URL canonicalization data and give me a quality audit, string normalisation check, and daily sum series on the unique_urls field so I can see trends and catch anomalies?"},{"title":"Daily URL aggregation for reporting","prompt":"I need to roll up these 80 rows of URL canonicalization log entries by day and site group — please run the record quality audit, string normalisation, and daily sum series reports on observed_urls so I have clean aggregated numbers ready for my weekly dashboard."}],"resultDescription":"Three independent analytical reports delivered together: (1) a record quality audit flagging missing values, out-of-range entries, and data integrity issues across the submitted rows; (2) a string normalisation report standardizing and highlighting formatting inconsistencies in the dataset fields; and (3) a daily sum series aggregating the chosen metric (observed_urls or unique_urls) by date. All reports operate solely on the supplied data — no external lookups or predictions are made.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Missing required fields (row_id, date, site_group, observed_urls, unique_urls) on any row — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected","Invalid field selector (must be 'observed_urls' or 'unique_urls') — enum validation error","Payment failure or insufficient USDC balance — 402 response, no report generated"],"whenToPreferThis":"Choose this endpoint when you have a batch of URL canonicalization records (up to 200 rows) and need three simultaneous analytical reports — data quality, string normalisation, and daily aggregation — for a flat $0.01 USDC. It is ideal for pre-ingestion validation of crawl logs, URL deduplication pipelines, or web analytics exports where you want to catch quality issues and summarize trends in one call without any external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:42:03.256Z","isFirstParty":false,"canonicalSlug":"url-canonicalization-data-quality-audit-record-quality-string-0b95659d"}