{"uid":"cap_aBAYUyQK9rjq4l2_rwwAA","slug":"error-budgets-string-normalisation-and-numeric-interval-filter-2f7d19bb","name":"Error Budgets String Normalisation and Numeric Interval Filter","description":"Error budgets — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-04-026?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},"field":{"enum":["failed_requests","total_requests"],"type":"string","default":"failed_requests"},"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_EdP0DOn9kWwo9s0Hj0VDs","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 filters error budget records (failed_requests, total_requests) by a numeric interval, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Take my error budget records with row IDs row-1 through row-4 for components group-a and group-b from 2026-10-01 to 2026-10-04 — normalize the string fields and filter by failed_requests between 0 and 100, then give me both analytical reports.","exampleUseCases":[{"title":"SRE team filters bad request spikes","prompt":"I have 50 rows of error budget data for services auth-service and payment-service across October — can you normalize the component names and filter to only show rows where failed_requests is between 5 and 500? I want both the reports you can produce."},{"title":"Reliability engineer audits total request bounds","prompt":"Run a string normalization and numeric interval filter on my error budget records — I want to keep only rows where total_requests is between 100 and 50000. Here are up to 200 rows of data with row_id, component, date, failed_requests, and total_requests."},{"title":"Platform team cleans SLO tracking data","prompt":"I've got messy component labels in my SLO error budget data and I need to normalize them, then filter the rows so only entries with failed_requests between 0 and 25 are included — can you run that analysis and return both reports?"}],"resultDescription":"Returns up to 2 independent analytical reports on the supplied error budget rows after applying string normalisation to text fields and filtering numeric values (failed_requests or total_requests) to the specified [minimum, maximum] interval. Results are computed locally without live lookup or external data sources.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","minimum greater than maximum — no rows pass the interval filter, empty result","missing required fields (row_id, date, failed_requests, total_requests) — validation error","date not in YYYY-MM-DD format — pattern validation failure","numeric values outside allowed range (±1,000,000,000,000) — schema rejection"],"whenToPreferThis":"Use this endpoint when you have pre-collected error budget records (failed_requests, total_requests) and need both string normalisation of component labels and numeric interval filtering in a single low-cost call. Ideal for SRE/SLO workflows where you want to clean and subset up to 200 rows of reliability data without connecting to a live monitoring system. At $0.01 USDC for 2 reports, it is cost-effective for batch preprocessing tasks before dashboarding or alerting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:36:13.592Z","isFirstParty":false,"canonicalSlug":"error-budgets-string-normalisation-and-numeric-interval-filter-2f7d19bb"}