{"uid":"cap_mdozY4MHJs3XwLvjC3jO0","slug":"error-budgets-exact-row-deduplication-numeric-interval-filter-a90fd914","name":"Error Budgets – Exact Row Deduplication + Numeric Interval Filter","description":"Error budgets — Exact row deduplication + Numeric interval filter: Exact row deduplication + 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-04-043?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_bxruD5GcoMqvDUwFcQdq-","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":"Deduplicates error budget rows and filters records by a numeric interval (min/max) on failed_requests or total_requests, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a dataset of error budget records with columns row_id, component, date, failed_requests, and total_requests — up to 150 rows. Can you deduplicate the rows exactly and then filter to only keep records where failed_requests is between 5 and 500, giving me 2 analytical reports?","exampleUseCases":[{"title":"Clean SLO data for reliability dashboard","prompt":"I've got 120 rows of error budget data for our payment and auth services — each row has a row_id, component, date, failed_requests, and total_requests. Can you deduplicate them exactly and filter to only rows where failed_requests is between 10 and 1000, then give me the two summary reports?"},{"title":"Audit duplicate entries in request tracking","prompt":"Our monitoring pipeline is producing duplicate error budget rows. I have about 80 records with failed_requests and total_requests — can you run exact row deduplication and then filter to those with total_requests between 100 and 50000 so I can audit what's left?"},{"title":"Filter error budget outliers for SLO review","prompt":"I need to review error budget data for our API components before our monthly SLO meeting. I have 200 rows — please deduplicate them and keep only records where failed_requests falls between 0 and 250, and give me both analytical reports."}],"resultDescription":"Returns up to 2 analytical reports: one showing the results of exact row deduplication on the supplied error budget records, and one showing rows filtered to those where the selected numeric field (failed_requests or total_requests) falls within the specified minimum–maximum interval. No external data is fetched; all analysis is performed on the submitted rows only.","failureModes":["Input array is empty or exceeds 200 rows — validation error returned","Rows missing required fields (row_id, component, date, failed_requests, total_requests) — schema validation failure","Date field does not match YYYY-MM-DD pattern — rejected with format error","minimum greater than maximum — may return empty filtered result set","Non-numeric values in failed_requests or total_requests — schema rejection","Payment not completed via x402 protocol — request not processed"],"whenToPreferThis":"Choose this endpoint when you need to clean error budget or SLO-related tabular data by removing exact duplicate rows AND simultaneously filter records to a numeric range on failed_requests or total_requests, and you want two independent analytical reports from a single cheap API call. It is ideal for pre-processing reliability data before dashboarding or further analysis, without needing a live database or external lookup service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:34:04.759Z","isFirstParty":false,"canonicalSlug":"error-budgets-exact-row-deduplication-numeric-interval-filter-a90fd914"}