{"uid":"cap_yXcSecfmBeRjkW_Fpo-aL","slug":"heterogeneous-compute-balancer-mcp-d1d45d7c","name":"Heterogeneous Compute Balancer MCP","description":"The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.","url":"https://api.m2mcent.com/heterogeneous-compute-balancer-mcp/api/process","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"payload":{"type":"string"}}},"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.18","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":"$0.18/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.18","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.18","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_OpXkbkMzUXHPh762vHtft","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.18","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Balances and distributes workloads across heterogeneous compute resources (e.g. CPU, GPU, specialized accelerators) via a managed API endpoint.","exampleAgentPrompt":"I need to run a heavy processing job across available CPU and GPU resources — can you submit this workload data to the heterogeneous compute balancer and get me the result?","exampleUseCases":[{"title":"GPU/CPU workload distribution","prompt":"I have a data processing job that needs to run across both CPU and GPU nodes — submit this payload to the compute balancer and return the optimized result."},{"title":"Dynamic resource allocation for inference","prompt":"We're running a machine learning inference task and need it automatically routed to the most efficient hardware available — can you send this request to the heterogeneous compute balancer?"},{"title":"Offload mixed compute pipeline task","prompt":"I have a batch of compute tasks that need to be distributed across different hardware backends — please submit this workload to the balancer and tell me what comes back."}],"resultDescription":"Returns the output of the balanced compute operation — likely a processed result, resource allocation details, or job completion status depending on the submitted workload data.","failureModes":["Malformed or missing 'data' field returns a 400 bad request error","Compute resource unavailability may result in timeout or 503 error","Payment failure (insufficient USDC balance) blocks the request via x402 protocol","Overly large payloads may be rejected or throttled","Opaque error responses due to minimal schema documentation"],"whenToPreferThis":"Choose this endpoint when you need to dynamically distribute or balance compute workloads across heterogeneous hardware types (CPU, GPU, accelerators) without managing the underlying infrastructure yourself. Prefer it over fixed single-hardware endpoints when your workload benefits from automatic resource routing or when you need to abstract away hardware selection.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T07:14:50.440Z","isFirstParty":false}