{"uid":"cap_ruCfWfvC06vCW_YbkAF7o","slug":"edge-inference-benchmarker-mcp-922c3c16","name":"Edge Inference Benchmarker 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/edge-inference-benchmarker-mcp/api/process?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":null,"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.3","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":"$0.3/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.3","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.3","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_8Ab8MvWFUgwAEO8nozXVx","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.3","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Benchmarks edge inference workloads by processing submitted data and returning performance metrics or evaluation results.","exampleAgentPrompt":"Can you benchmark this edge inference payload for me and give me back the performance metrics: '{\"model\":\"mobilenet_v2\",\"input_size\":224,\"batch_size\":1}'?","exampleUseCases":[{"title":"Edge model latency profiling","prompt":"Run a benchmark on this edge inference workload and tell me the latency and throughput numbers: '{\"model\":\"yolov5s\",\"device\":\"rpi4\",\"samples\":100}'"},{"title":"Comparing edge inference configurations","prompt":"I need to benchmark two different edge inference setups — start with this first config and give me the performance breakdown: '{\"model\":\"efficientnet\",\"quantized\":true,\"batch_size\":4}'"},{"title":"QA check on edge AI deployment","prompt":"Before I ship this edge AI model, can you run the benchmarker on this sample data and flag any performance issues: '{\"model\":\"bert-tiny\",\"sequence_length\":128,\"runs\":50}'"}],"resultDescription":"Returns benchmark evaluation results for the submitted edge inference data, likely including performance metrics such as latency, throughput, accuracy scores, or pass/fail status for the given workload.","failureModes":["Invalid or malformed data string returns a 400 error","Empty data field may result in processing failure","Payment not completed via x402 protocol results in 402 response","Oversized payload may exceed processing limits","Unsupported inference format may return an error or empty result"],"whenToPreferThis":"Choose this endpoint when you need to benchmark or evaluate edge inference workloads programmatically and want results returned via a paid API call. Suitable when you lack local benchmarking infrastructure or need a neutral third-party evaluation of edge AI performance.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T01:50:40.853Z","isFirstParty":false,"canonicalSlug":"edge-inference-benchmarker-mcp-922c3c16"}