{"uid":"cap_R6KxtrQ4cQ37jmoxQlD_0","slug":"deployment-runs-string-normalisation-secondary-measure-weighted-mean-da64082b","name":"Deployment Runs — String Normalisation + Secondary-Measure Weighted Mean","description":"Deployment runs — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied deployment runs records (deploy_seconds, rollback_count). 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-02-034?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","deploy_seconds","rollback_count"],"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},"deploy_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rollback_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","deploy_seconds":10,"rollback_count":1},{"date":"2026-10-02","row_id":"row-2","component":"group-b","deploy_seconds":20,"rollback_count":2},{"date":"2026-10-03","row_id":"row-3","component":"group-a","deploy_seconds":15,"rollback_count":3},{"date":"2026-10-04","row_id":"row-4","component":"group-b","deploy_seconds":30,"rollback_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["deploy_seconds","rollback_count"],"type":"string","default":"deploy_seconds"}}},"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_20NIF-Y_XlHWCbA8FF42E","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 component/date strings and computes a secondary-measure weighted mean across deployment run records (deploy_seconds, rollback_count) for up to 200 rows.","exampleAgentPrompt":"Can you normalise the component and date strings in my deployment run records and compute the rollback_count-weighted mean of deploy_seconds? I have about 50 rows with fields row_id, component, date, deploy_seconds, and rollback_count — here's the data.","exampleUseCases":[{"title":"Release pipeline duration analysis","prompt":"I have 120 deployment run records with row_id, component, date, deploy_seconds, and rollback_count. Can you normalise the component name strings and compute a weighted mean of deploy_seconds using rollback_count as the secondary measure?"},{"title":"Rollback frequency weighted aggregation","prompt":"Here are 80 rows of CI/CD deployment data. Please normalise the string fields and give me the secondary-measure weighted mean of rollback_count, using deploy_seconds as the weight field."},{"title":"Multi-component deployment stats cleanup","prompt":"We have deployment data for two components — group-a and group-b — across 60 rows. Run string normalisation on the component and date fields, then compute the weighted mean of deploy_seconds weighted by rollback_count so I can compare the two groups."}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report cleaning component/date fields across the supplied rows, and (2) a secondary-measure weighted mean computed for the selected numeric field (deploy_seconds or rollback_count), using the other as the secondary weight. Covers up to 200 input rows with no external lookups or live data.","failureModes":["More than 200 rows submitted — request rejected with max-items validation error","Missing required fields (row_id, component, date, deploy_seconds, rollback_count) — schema validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Null values in both numeric fields prevent weighted mean computation","field enum value not one of 'deploy_seconds' or 'rollback_count' — enum validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 deployment run records and need both string normalisation of component/date fields and a secondary-measure weighted mean for deploy_seconds or rollback_count in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics when your data is specifically structured around deployment run metrics and you want two bundled local analytical reports without any external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-09T00:33:39.680Z","isFirstParty":false,"canonicalSlug":"deployment-runs-string-normalisation-secondary-measure-weighted-mean-da64082b"}