{"uid":"cap_AByxE7W73Z6d-tYBFCmg_","slug":"tokenburn-optimizer-mcp-94a2e235","name":"TokenBurn Optimizer 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/tokenburn-optimizer-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":"0.05","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":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm__FiAer-hfX_XVIVV9sQU-","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Optimizes token burn strategies or token usage patterns by processing input data through an agentic AI pipeline","exampleAgentPrompt":"Can you run my prompt or dataset through the token burn optimizer to figure out how to reduce token usage and lower my AI inference costs?","exampleUseCases":[{"title":"Reducing LLM inference costs","prompt":"I'm spending way too much on OpenAI API calls — can you send my current prompt templates through the token burn optimizer and tell me how to cut down the token count?"},{"title":"Optimizing agent pipeline efficiency","prompt":"My agentic workflow is using a lot of tokens per run. Can you pass the workflow data through the token burn optimizer to get recommendations on where to trim?"},{"title":"Analyzing token consumption patterns","prompt":"Here's my usage data from the past week of LLM calls — run it through the token burn optimizer and tell me where I'm burning the most tokens unnecessarily."}],"resultDescription":"Returns an optimized result or set of recommendations based on the submitted data, aimed at reducing token consumption or improving token burn efficiency in AI workflows.","failureModes":["Missing or empty 'data' field returns a validation error","Malformed input string may return a processing error or empty result","Service unavailability returns HTTP 402 or 5xx","Payment failure via x402 protocol prevents processing","Ambiguous or unstructured input data may yield low-quality optimization output"],"whenToPreferThis":"Choose this endpoint when you need to programmatically reduce token usage or optimize burn patterns in LLM pipelines and are willing to pay a small per-call fee via x402 crypto micropayment. Useful for cost-conscious agentic workflows running at scale.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T12:51:36.643Z","isFirstParty":false,"canonicalSlug":"tokenburn-optimizer-mcp-94a2e235"}