{"uid":"cap_PMj5ggSPVckZESlftEseQ","slug":"url-canonicalization-record-quality-audit-string-normalisation-619c7d7f","name":"URL Canonicalization — Record Quality Audit + String Normalisation + Adjacent Row Changes","description":"URL canonicalization — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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-20-200?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_wc7v8q35zSg74x-CVJvAm","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 local analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 rows of URL canonicalization data (observed_urls, unique_urls).","exampleAgentPrompt":"I have a batch of URL canonicalization records with site_group and date columns plus observed_urls and unique_urls counts — can you run a record quality audit, string normalisation, and adjacent row changes analysis on these rows and tell me what data issues you find?","exampleUseCases":[{"title":"SEO crawl data quality check","prompt":"I've got 150 rows of URL crawl data from our SEO tool with site groups, dates, and observed vs unique URL counts — can you audit the record quality, normalize the string fields, and flag any unusual changes between adjacent rows so I can clean it up before reporting?"},{"title":"Deduplication pipeline validation","prompt":"Before we push this batch of URL canonicalization data into our pipeline, run a quality audit and adjacent row change check on the observed_urls field across these 200 rows so we can catch any anomalies or dirty records early."},{"title":"Site group string cleanup","prompt":"Our URL tracking export has inconsistent site_group labels and some suspect unique_urls values — can you run a string normalisation report and record quality audit on these rows so we know what needs fixing?"}],"resultDescription":"Three separate analytical reports covering: (1) record quality audit flagging missing, out-of-range, or malformed values; (2) string normalisation findings on text fields like site_group; and (3) adjacent row change analysis showing metric shifts between consecutive rows — all computed locally without external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Row missing required fields (row_id, site_group, date, observed_urls, unique_urls) — validation error","date field does not match YYYY-MM-DD pattern — schema rejection","observed_urls or unique_urls outside allowed numeric range — rejected","Invalid field enum value — must be 'observed_urls' or 'unique_urls'"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports (quality audit, string normalisation, adjacent changes) on URL canonicalization records in a single low-cost call. It is ideal for pre-pipeline data cleaning, QA checks on web crawl exports, and detecting row-level anomalies in URL tracking datasets up to 200 rows. It does not perform live lookups or external validation — use it for local computation over supplied data only.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:12.146Z","isFirstParty":false,"canonicalSlug":"url-canonicalization-record-quality-audit-string-normalisation-619c7d7f"}