{"uid":"cap_KggrZHzYoHxpvAEPOAtGh","slug":"redirect-observations-record-quality-audit-string-normalisation-527204f0","name":"Redirect Observations — Record Quality Audit + String Normalisation","description":"Redirect observations — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied redirect observations records (redirect_count, final_status_code). 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-web-14-001?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","redirect_count","final_status_code"],"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},"redirect_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"final_status_code":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","redirect_count":10,"final_status_code":1},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","redirect_count":20,"final_status_code":2},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","redirect_count":15,"final_status_code":3},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","redirect_count":30,"final_status_code":4}],"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_4eqWbkdQY14AkCwDp7lcy","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":"Audits data quality and normalises strings for up to 200 redirect observation records containing redirect_count and final_status_code fields, returning 2 analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and string normalisation on my redirect observations data? I have up to 50 rows with fields like row_id, site_group, date, redirect_count, and final_status_code — I need both reports back.","exampleUseCases":[{"title":"Web redirect data quality check","prompt":"I have a batch of 120 redirect observation records from our CDN logs with site_group, date, redirect_count, and final_status_code columns — can you audit the data quality and normalise the strings so I can trust the data before loading it into our warehouse?"},{"title":"Pre-pipeline redirect validation","prompt":"Before I ingest this week's redirect monitoring export into our analytics pipeline, run a quality audit and string normalisation on these 80 rows — flag anything with bad redirect_count or final_status_code values and return both reports."},{"title":"Site group redirect anomaly detection","prompt":"I've got redirect observations across three site groups for October — about 150 rows each with a date, redirect_count, and final_status_code. Can you do a record quality audit and string normalisation on them and tell me what data issues came up?"}],"resultDescription":"Two analytical reports: (1) a record quality audit identifying data issues, missing values, and anomalies in the redirect observation records; (2) a string normalisation report showing cleaned and standardised string fields across the supplied rows. Both reports are generated locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — endpoint rejects input exceeding maxItems limit","Missing required fields (row_id, site_group, date, redirect_count, or final_status_code) cause row-level validation errors","Malformed date strings not matching YYYY-MM-DD pattern rejected","Numeric values outside allowed range (-1e12 to 1e12) may fail schema validation","Empty rows array (minItems: 1 violated) returns error","Payment of 0.01 USDC not completed — request rejected"],"whenToPreferThis":"Choose this endpoint when you need offline, local analytical data quality auditing and string normalisation specifically for redirect observation records (with redirect_count and final_status_code fields) without any live lookups, predictions, or external actions. Ideal for pre-pipeline data validation of web redirect logs at low cost ($0.01 per call for up to 200 rows and 2 reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:36.345Z","isFirstParty":false,"canonicalSlug":"redirect-observations-record-quality-audit-string-normalisation-527204f0"}