{"uid":"cap_Sv_1hcePdInl0jK6u9nNw","slug":"error-budgets-string-normalisation-and-two-measure-correlation-860ff9b7","name":"Error Budgets String Normalisation and Two-Measure Correlation","description":"Error budgets — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied error budgets records (failed_requests, total_requests). 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-software-04-033?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","failed_requests","total_requests"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"component":{"type":"string","default":"","maxLength":80},"total_requests":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"failed_requests":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","total_requests":1,"failed_requests":10},{"date":"2026-10-02","row_id":"row-2","component":"group-b","total_requests":2,"failed_requests":20},{"date":"2026-10-03","row_id":"row-3","component":"group-a","total_requests":3,"failed_requests":15},{"date":"2026-10-04","row_id":"row-4","component":"group-b","total_requests":4,"failed_requests":30}],"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_3J9GJ2Xe9L6bSi_J2jT8i","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":"Performs string normalisation and two-measure correlation analysis on error budget records (failed_requests, total_requests) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation and two-measure correlation on my error budget data? I have rows with component names like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and failed_requests and total_requests counts for each day — I need both analytical reports.","exampleUseCases":[{"title":"SLO error budget correlation audit","prompt":"I have daily error budget records for two services — 'auth-service' and 'payment-service' — from 2026-09-01 to 2026-09-30, with failed_requests and total_requests per day. Can you normalize the component name strings and run a two-measure correlation analysis to see how failures and total requests relate across those 30 rows?"},{"title":"Multi-component reliability trend analysis","prompt":"Here are 150 rows of error budget data across five components with dates and request counts. Please run string normalisation on the component labels and compute the two-measure correlation between failed_requests and total_requests — I need both reports to review with my SRE team."},{"title":"Quick two-report check on small error budget sample","prompt":"I've got 4 rows of error budget data — two components, two days each — with failed and total request numbers. Run the string normalisation plus two-measure correlation on it and give me the two analytical reports so I can sanity-check my SLO dashboard."}],"resultDescription":"Returns two independent analytical reports: (1) a string-normalised version of the supplied error budget records (cleaning/standardising component and string fields), and (2) a two-measure correlation analysis between failed_requests and total_requests across the submitted rows — all computed locally without external lookups or predictions.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, component, date, failed_requests, total_requests) causes rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","Null or out-of-range numeric values may cause computation errors","Empty rows array is rejected due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local statistical analysis — specifically string normalisation and two-measure correlation — on error budget data (failed_requests, total_requests) without requiring any external data lookup, live API calls, or predictive modelling. It is ideal for SRE or DevOps workflows that need quick, reproducible analytical reports on batches of up to 200 SLO-related records at very low cost ($0.01 USDC for two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:35:43.823Z","isFirstParty":false,"canonicalSlug":"error-budgets-string-normalisation-and-two-measure-correlation-860ff9b7"}