{"uid":"cap_Ovu-CvBdDdPjY3IhpFCOv","slug":"sybil-graph-clustering-mcp-45b672db","name":"Sybil Graph Clustering 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/sybil-graph-clustering-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":"0.1","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":"$0.1/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_mhNUuVblfmH_aRuoVt-FO","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.1","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Detects and clusters sybil identities in a graph network by analyzing relational patterns to identify coordinated fake or fraudulent accounts.","exampleAgentPrompt":"Analyze this user relationship graph data and identify any sybil clusters — groups of fake or coordinated accounts that appear to be operating together: [paste graph data here].","exampleUseCases":[{"title":"Detecting bots in social platform","prompt":"I have a graph of follower/following relationships from my platform and I think there are coordinated bot accounts inflating follower counts — can you run sybil graph clustering on this data to find the suspicious clusters?"},{"title":"Blockchain airdrop sybil filtering","prompt":"Here's my on-chain transaction graph from our token airdrop — I need to detect sybil wallets that are farming the airdrop by acting as fake independent accounts. Cluster them so I can filter them out."},{"title":"DAO voting manipulation detection","prompt":"I want to check whether our DAO governance votes are being manipulated by sybil identities. Here's the voting interaction graph — can you cluster it to identify groups that look like they're coordinated fake voters?"}],"resultDescription":"Returns cluster assignments identifying groups of nodes (accounts, identities, or wallets) that exhibit coordinated or sybil-like behavior, allowing the caller to flag or filter fraudulent entities from the network.","failureModes":["Malformed or empty graph data input returns an error","Insufficiently connected graph may yield no meaningful clusters","Very large graphs may time out or require chunked input","Missing edge/node structure in the data string causes parsing failure"],"whenToPreferThis":"Use this endpoint when you need to detect coordinated fake, fraudulent, or sybil identities within a graph-structured dataset — particularly for social networks, blockchain address graphs, or DAO voting graphs where account coordination fraud is a concern. Prefer this over generic anomaly detection when the relationship graph structure is the primary signal.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T01:44:20.606Z","isFirstParty":false,"canonicalSlug":"sybil-graph-clustering-mcp-45b672db"}