{"uid":"cap_444qs9g0O_2lj60DNo9bH","slug":"cloud-world-model-analysis-job-recommendations-38f1759e","name":"Cloud World Model – Analysis Job Recommendations","description":"Simulate AWS, GCP, Azure, OCI, and DigitalOcean cloud infrastructure without provisioning real resources. Built for Canvas Cloud AI learners and agents.","url":"https://www.cloudworldmodel.ai/api/analysis/jobs/%7Bid%7D/recommendations","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method","bodyType","body"],"properties":{"body":{"type":"object","required":[],"properties":{},"additionalProperties":false},"type":{"type":"string","const":"http"},"method":{"type":"string"},"bodyType":{"type":"string"}}},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","properties":{"totalVariants":{"type":"integer"},"recommendations":{"type":"array"}}}}}}},"responseSchema":{"type":"json","example":{"totalVariants":47,"recommendations":[{"name":"Serverless First","rank":1,"score":0.87,"reversibilityTier":"hours","costSavingsPercent":18}]}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.001","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":"$0.001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_6L22HKAgOL5N0W00oWla6","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Retrieves ranked architecture recommendations for a completed cloud infrastructure analysis job, including cost savings estimates and reversibility tiers.","exampleAgentPrompt":"I just ran a cloud infrastructure simulation and the analysis job finished — can you pull up the recommendations for job ID abc123 and tell me which architecture scored highest and how much cost savings it estimates?","exampleUseCases":[{"title":"Serverless migration cost assessment","prompt":"My cloud analysis job just completed for our AWS monolith simulation — fetch the recommendations for job ID job_789xyz and tell me if going serverless-first ranked highly and what percentage savings it estimates."},{"title":"Multi-cloud right-sizing review","prompt":"Can you retrieve the ranked recommendations from analysis job sim_456abc on Cloud World Model? I want to see which configuration has the best reversibility tier in case we need to roll back quickly."},{"title":"Pre-migration architecture decision","prompt":"We're about to move to GCP and ran a simulation last week — pull the recommendations for analysis job job_112qrs and give me the top 3 options by score so our team can decide which architecture to go with."}],"resultDescription":"Returns a list of ranked architecture recommendations for the specified analysis job, each with a name, rank, score (0–1), reversibility tier (e.g. 'hours'), and estimated cost savings percentage. Also includes the total number of variants evaluated.","failureModes":["Job ID not found or invalid — returns 404 or empty result","Job still in progress — recommendations may not yet be available","Malformed job ID format — returns 400 bad request","Payment not processed — returns 402 Payment Required","Service unavailable during high simulation load — returns 503"],"whenToPreferThis":"Use this endpoint after triggering a cloud infrastructure analysis job on Cloud World Model when you need to retrieve the ranked output recommendations. Prefer this over generic cloud advisory tools when you want simulation-backed, scored recommendations across AWS, GCP, Azure, OCI, and DigitalOcean without provisioning real resources. Ideal for FinOps agents, cloud architects, and AI learners comparing architecture variants.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-11T18:30:01.535Z","isFirstParty":false}