# Sybil Graph Clustering MCP

> Sybil Graph Clustering MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-23).

Detects and clusters sybil identities in a graph network by analyzing relational patterns to identify coordinated fake or fraudulent accounts.

## Facts

- Endpoint: POST https://api.m2mcent.com/sybil-graph-clustering-mcp/api/process?utm_source=zero.xyz
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sybil-graph-clustering-mcp-45b672db
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ovu-CvBdDdPjY3IhpFCOv

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability sybil-graph-clustering-mcp-45b672db -d '<json body>'
```

Example prompt: 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].

## When to prefer this

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.

## Known failure modes

- 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

## How this service works

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.

## Output

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.

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "success": true
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sybil-graph-clustering-mcp-45b672db/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.m2mcent.com](https://www.zero.xyz/host/api.m2mcent.com/llms.txt)