{"uid":"cap_oUHS3uir4Jrwf2rJNDVuM","slug":"resource-allocation-game-mcp-553b8818","name":"Resource Allocation Game 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/resource-allocation-game-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_nTe5VQsonozmovo4qxd7X","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":"Simulates or processes a resource allocation game scenario, returning outcomes based on provided game state or strategy data.","exampleAgentPrompt":"Run a resource allocation game scenario for me — I have 3 players, 100 units of resources to distribute, and I want to see the outcome if player 1 takes 50, player 2 takes 30, and player 3 takes 20.","exampleUseCases":[{"title":"Classroom economics simulation","prompt":"Simulate a resource allocation game for a classroom exercise with 5 players and 200 units, where each player submits a bid — player bids are 60, 40, 35, 35, and 30 respectively. What's the outcome?"},{"title":"AI agent strategy testing","prompt":"I'm testing an AI negotiation agent — can you run a resource allocation game round where my agent proposes taking 70 out of 100 units and the opponent proposes 50? Show me the result."},{"title":"Game theory research scenario","prompt":"Process a resource allocation game where there are 4 participants competing for 500 units using a proportional allocation rule, with requests of 200, 150, 100, and 50 units."}],"resultDescription":"Returns the computed outcome of the resource allocation game based on the submitted data string, likely including how resources were distributed among participants, whether allocations were valid, and possibly scores or payoffs for each player.","failureModes":["Invalid or malformed data string returns an error response","Missing required 'data' field causes a 400-level error","Game state data that doesn't conform to expected format may produce undefined behavior","Payment failure (insufficient USDC balance) blocks the call entirely"],"whenToPreferThis":"Choose this endpoint when you need to simulate or evaluate a resource allocation game scenario programmatically, especially within an agentic workflow involving strategic decision-making, multi-agent negotiation, or game-theoretic experiments. Best suited for cases where you need a hosted, pay-per-call compute service rather than running local game logic.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T00:46:47.706Z","isFirstParty":false,"canonicalSlug":"resource-allocation-game-mcp-553b8818"}