{"uid":"cap_9womD_OvunoDC90yyAfkZ","slug":"url-canonicalization-data-record-quality-audit-string-normalisation-cb13e803","name":"URL Canonicalization Data — Record Quality Audit + String Normalisation + Numeric Interval Filter","description":"URL canonicalization — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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-20-197?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"},"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_MBVN-vBsJLm82WwFTdZVE","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 on URL canonicalization records: a record quality audit, string normalisation, and a numeric interval filter on observed_urls or unique_urls fields.","exampleAgentPrompt":"Can you audit the quality of these URL canonicalization records and also normalise the site_group strings and filter to rows where observed_urls is between 0 and 100? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 observed and 1 unique, row-2 for group-b on 2026-10-02 with 20 observed and 2 unique, row-3 for group-a on 2026-10-03 with 15 observed and 3 unique, row-4 for group-b on 2026-10-04 with 30 observed and 4 unique.","exampleUseCases":[{"title":"URL crawl data quality check","prompt":"I have a batch of URL canonicalization records by site group and date — can you run a record quality audit on them and also normalise the site_group labels? Here are 5 rows with observed_urls and unique_urls values."},{"title":"Filtering URL records by numeric range","prompt":"From my URL canonicalization dataset, filter out all rows where observed_urls is outside the range 50 to 500. Here are my records: row-1, group-alpha, 2026-11-01, 10 observed, 5 unique; row-2, group-beta, 2026-11-02, 120 observed, 60 unique; row-3, group-alpha, 2026-11-03, 600 observed, 300 unique."},{"title":"String normalisation for site group labels","prompt":"My URL tracking data has inconsistent site_group names — can you run string normalisation on these records and flag any quality issues? I'll supply 8 rows with dates, observed_urls, and unique_urls."}],"resultDescription":"Three structured analytical reports delivered together: (1) a record quality audit flagging missing, malformed, or inconsistent fields across up to 200 rows; (2) a string normalisation report standardising site_group and related string fields; (3) a numeric interval filter report listing which rows fall within or outside the specified minimum/maximum range for the chosen field (observed_urls or unique_urls). No external lookups or live data are involved.","failureModes":["Input array is empty or exceeds 200 rows — validation error returned","date field does not match YYYY-MM-DD pattern — row rejected or flagged","row_id missing or blank — required field error","minimum value exceeds maximum value — logical range error","field enum value is not 'observed_urls' or 'unique_urls' — invalid enum error","observed_urls or unique_urls values outside allowed numeric bounds — validation error"],"whenToPreferThis":"Choose this endpoint when you have URL canonicalization tabular data (with observed_urls and unique_urls columns by site_group and date) and need three types of local analysis in one call: data quality auditing, string normalisation, and numeric range filtering. It is ideal for offline/batch data hygiene workflows where no live lookup or external enrichment is needed. Prefer it over general-purpose data tools when you want a bundled, cost-effective ($0.01 USDC for all three reports) analytical pass on up to 200 rows of URL tracking records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:47:32.545Z","isFirstParty":false,"canonicalSlug":"url-canonicalization-data-record-quality-audit-string-normalisation-cb13e803"}