{"uid":"cap_Bf_DMKy_sgqokaNuP0B1j","slug":"redirect-observations-string-normalisation-two-measure-correlation-a6c22ebb","name":"Redirect Observations — String Normalisation + Two-Measure Correlation","description":"Redirect observations — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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-14-033?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_f9h-mBlR7eE9CconVkyCz","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":"Normalises string fields and computes two-measure correlation analysis on redirect observation records (redirect_count, final_status_code) for up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and a two-measure correlation analysis on my redirect observation data — I have up to 50 rows with fields like row_id, site_group, date, redirect_count, and final_status_code — and give me two analytical reports?","exampleUseCases":[{"title":"Redirect chain depth vs status code correlation","prompt":"I have a dataset of 80 redirect log entries with site group, date, redirect_count, and final_status_code columns — can you normalise the string fields and tell me whether there's a correlation between how many redirects occurred and what the final status code was?"},{"title":"Site group redirect behaviour audit","prompt":"We have redirect observation records for two site groups over the past month — about 150 rows — can you normalise the data and run a two-measure correlation analysis on redirect_count and final_status_code so I can see patterns across groups?"},{"title":"HTTP redirect quality check for a crawl batch","prompt":"After our last crawl batch I've got 200 rows of redirect data with redirect_count and final_status_code for each URL — run string normalisation and give me the two-measure correlation reports so I can spot any anomalies."}],"resultDescription":"Two independent analytical reports covering: (1) string normalisation output for the site_group and related text fields across submitted rows, and (2) a two-measure correlation analysis quantifying the relationship between redirect_count and final_status_code for up to 200 supplied rows. No external lookups or predictions are made; all analysis is performed locally on the submitted data.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, redirect_count, final_status_code) causes rejection","Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure","Payment of 0.01 USDC not completed results in 402 response","Null values in both numeric measure fields may degrade correlation report quality"],"whenToPreferThis":"Choose this endpoint when you need combined string normalisation and two-measure statistical correlation analysis on redirect observation data (redirect_count + final_status_code) in a single paid call, with up to 200 rows processed offline without any external lookups or live data dependencies. Prefer it over generic analytics pipelines when working specifically with HTTP redirect monitoring records and needing two bundled reports at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:08:07.241Z","isFirstParty":false,"canonicalSlug":"redirect-observations-string-normalisation-two-measure-correlation-a6c22ebb"}